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ORCIDLeslie Pack Kaelbling
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- affiliation: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2025
[i120]Ashay Athalye, Nishanth Kumar, Tom Silver, Yichao Liang, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Predicate Invention from Pixels via Pretrained Vision-Language Models. CoRR abs/2501.00296 (2025)- [i119]Aidan Curtis, Eric Li, Michael Noseworthy, Nishad Gothoskar, Sachin Chitta, Hui Li, Leslie Pack Kaelbling, Nicole Carey:
Flow-based Domain Randomization for Learning and Sequencing Robotic Skills. CoRR abs/2502.01800 (2025) - [i118]Annie Feng, Nishanth Kumar, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Guided Exploration for Efficient Relational Model Learning. CoRR abs/2502.06146 (2025) - 2024
- [c193]Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz:
Generalized Planning in PDDL Domains with Pretrained Large Language Models. AAAI 2024: 20256-20264 - [c192]Aidan Curtis, Nishanth Kumar, Jing Cao, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. CoRL 2024: 1362-1383 - [c191]Bartlomiej Cieslar, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Jorge Mendez-Mendez:
Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning. CoRL 2024: 4235-4252 - [c190]Yilun Du, Sherry Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson:
Video Language Planning. ICLR 2024 - [c189]Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel:
Learning Interactive Real-World Simulators. ICLR 2024 - [c188]Yilun Du, Leslie Pack Kaelbling:
Position: Compositional Generative Modeling: A Single Model is Not All You Need. ICML 2024 - [c187]Katie E. Everett, Lechao Xiao, Mitchell Wortsman, Alexander A. Alemi, Roman Novak, Peter J. Liu, Izzeddin Gur, Jascha Sohl-Dickstein, Leslie Pack Kaelbling, Jaehoon Lee, Jeffrey Pennington:
Scaling Exponents Across Parameterizations and Optimizers. ICML 2024 - [c186]Xiaolin Fang, Caelan Reed Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox:
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability. IROS 2024: 1412-1419 - [c185]Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Embodied Uncertainty-Aware Object Segmentation. IROS 2024: 2639-2646 - [c184]Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. Robotics: Science and Systems 2024 - [c183]Nishanth Kumar, Tom Silver, Willie McClinton, Linfeng Zhao, Stephen Proulx, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Jennifer L. Barry:
Practice Makes Perfect: Planning to Learning Skill Parameter Policies. Robotics: Science and Systems 2024 - [c182]Yiqing Xu, Jiayuan Mao, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu:
Set It Up!: Functional Object Arrangement with Compositional Generative Models. Robotics: Science and Systems 2024 - [i117]Yilun Du, Leslie Pack Kaelbling:
Compositional Generative Modeling: A Single Model is Not All You Need. CoRR abs/2402.01103 (2024) - [i116]Nishanth Kumar, Tom Silver, Willie McClinton, Linfeng Zhao, Stephen Proulx, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Jennifer L. Barry:
Practice Makes Perfect: Planning to Learn Skill Parameter Policies. CoRR abs/2402.15025 (2024) - [i115]Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. CoRR abs/2403.10454 (2024) - [i114]Yiqing Xu, Jiayuan Mao, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu:
"Set It Up!": Functional Object Arrangement with Compositional Generative Models. CoRR abs/2405.11928 (2024) - [i113]Aidan Curtis, Nishanth Kumar, Jing Cao, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. CoRR abs/2406.05572 (2024) - [i112]Katie Everett, Lechao Xiao, Mitchell Wortsman, Alexander A. Alemi, Roman Novak, Peter J. Liu, Izzeddin Gur, Jascha Sohl-Dickstein, Leslie Pack Kaelbling, Jaehoon Lee, Jeffrey Pennington:
Scaling Exponents Across Parameterizations and Optimizers. CoRR abs/2407.05872 (2024) - [i111]Shao Y. C. Chia, Rebecca H. Jiang, Bernhard P. Graesdal, Leslie Pack Kaelbling, Russ Tedrake:
GCS*: Forward Heuristic Search on Implicit Graphs of Convex Sets. CoRR abs/2407.08848 (2024) - [i110]Seiji Shaw, Aidan Curtis, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Towards Practical Finite Sample Bounds for Motion Planning in TAMP. CoRR abs/2407.17394 (2024) - [i109]Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Embodied Uncertainty-Aware Object Segmentation. CoRR abs/2408.04760 (2024) - [i108]Sahit Chintalapudi, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Bi-Level Belief Space Search for Compliant Part Mating Under Uncertainty. CoRR abs/2409.15774 (2024) - [i107]Alicia Li, Nishanth Kumar, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning. CoRR abs/2409.19226 (2024) - [i106]Zhutian Yang, Caelan Reed Garrett, Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Guiding Long-Horizon Task and Motion Planning with Vision Language Models. CoRR abs/2410.02193 (2024) - [i105]Yajvan Ravan, Zhutian Yang, Tao Chen, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Combining Planning and Diffusion for Mobility with Unknown Dynamics. CoRR abs/2410.06911 (2024) - [i104]Xiaolin Fang, Bo-Ruei Huang, Jiayuan Mao, Jasmine Shone, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Keypoint Abstraction using Large Models for Object-Relative Imitation Learning. CoRR abs/2410.23254 (2024) - [i103]Aditya Agarwal, Gaurav Singh, Bipasha Sen, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
SceneComplete: Open-World 3D Scene Completion in Complex Real World Environments for Robot Manipulation. CoRR abs/2410.23643 (2024) - [i102]Yuyao Liu, Jiayuan Mao, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
One-Shot Manipulation Strategy Learning by Making Contact Analogies. CoRR abs/2411.09627 (2024) - [i101]Ferran Alet, Clement Gehring, Tomás Lozano-Pérez, Kenji Kawaguchi, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Functional Risk Minimization. CoRR abs/2412.21149 (2024) - 2023
- [c181]Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Rational Subgoals from Demonstrations and Instructions. AAAI 2023: 12068-12078 - [c180]Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
Predicate Invention for Bilevel Planning. AAAI 2023: 12120-12129 - [c179]William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola:
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation. CoRL 2023: 405-424 - [c178]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Reusable Manipulation Strategies. CoRL 2023: 1467-1483 - [c177]Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Efficient Abstract Planning Models that Choose What to Predict. CoRL 2023: 2070-2095 - [c176]Jorge Mendez-Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Embodied Lifelong Learning for Task and Motion Planning. CoRL 2023: 2134-2150 - [c175]Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Compositional Diffusion-Based Continuous Constraint Solvers. CoRL 2023: 3242-3265 - [c174]Ethan Chun, Yilun Du, Anthony Simeonov, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation. ICRA 2023: 1830-1836 - [c173]Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain:
Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. ICRA 2023: 3721-3728 - [c172]Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Visibility-Aware Navigation Among Movable Obstacles. ICRA 2023: 10083-10089 - [c171]Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal:
Compositional Foundation Models for Hierarchical Planning. NeurIPS 2023 - [c170]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
What Planning Problems Can A Relational Neural Network Solve? NeurIPS 2023 - [c169]Zhutian Yang, Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox:
Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning. Robotics: Science and Systems 2023 - [i100]Ethan Chun, Yilun Du, Anthony Simeonov, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation. CoRR abs/2302.03573 (2023) - [i99]Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Rational Subgoals from Demonstrations and Instructions. CoRR abs/2303.05487 (2023) - [i98]Zhezheng Luo, Jiayuan Mao, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
On the Expressiveness and Generalization of Hypergraph Neural Networks. CoRR abs/2303.05490 (2023) - [i97]Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao:
Sparse and Local Networks for Hypergraph Reasoning. CoRR abs/2303.05496 (2023) - [i96]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
PDSketch: Integrated Planning Domain Programming and Learning. CoRR abs/2303.05501 (2023) - [i95]Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz:
Generalized Planning in PDDL Domains with Pretrained Large Language Models. CoRR abs/2305.11014 (2023) - [i94]Xiaolin Fang, Caelan Reed Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox:
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability. CoRR abs/2306.13196 (2023) - [i93]Jorge A. Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Embodied Lifelong Learning for Task and Motion Planning. CoRR abs/2307.06870 (2023) - [i92]William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola:
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation. CoRR abs/2308.07931 (2023) - [i91]Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Compositional Diffusion-Based Continuous Constraint Solvers. CoRR abs/2309.00966 (2023) - [i90]Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Josh Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal:
Compositional Foundation Models for Hierarchical Planning. CoRR abs/2309.08587 (2023) - [i89]Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Neural Relational Inference with Fast Modular Meta-learning. CoRR abs/2310.07015 (2023) - [i88]Yilun Du, Mengjiao Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson:
Video Language Planning. CoRR abs/2310.10625 (2023) - [i87]Jiayuan Mao, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Reusable Manipulation Strategies. CoRR abs/2311.03293 (2023) - [i86]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
What Planning Problems Can A Relational Neural Network Solve? CoRR abs/2312.03682 (2023) - 2022
- [j39]Beomjoon Kim
, Luke Shimanuki, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Representation, learning, and planning algorithms for geometric task and motion planning. Int. J. Robotics Res. 41(2): 210-231 (2022) - [c168]Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Discovering State and Action Abstractions for Generalized Task and Motion Planning. AAAI 2022: 5377-5384 - [c167]Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz:
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. ICAPS 2022: 588-596 - [c166]Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Skills for Bilevel Planning. CoRL 2022: 701-714 - [c165]Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal:
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRL 2022: 835-846 - [c164]Sathwik Karnik, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Gustavo Nunes Goretkin:
Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. ICRA 2022: 329-335 - [c163]Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett:
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. ICRA 2022: 1940-1946 - [c162]Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
PG3: Policy-Guided Planning for Generalized Policy Generation. IJCAI 2022: 4686-4692 - [c161]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. IROS 2022: 4166-4173 - [c160]Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Object-Based State Estimators for Household Robots. IROS 2022: 12558-12565 - [c159]Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao:
Sparse and Local Networks for Hypergraph Reasoning. LoG 2022: 34 - [c158]Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie Pack Kaelbling:
PDSketch: Integrated Domain Programming, Learning, and Planning. NeurIPS 2022 - [i85]Beomjoon Kim, Luke Shimanuki, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Representation, learning, and planning algorithms for geometric task and motion planning. CoRR abs/2203.04605 (2022) - [i84]Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning. CoRR abs/2203.09634 (2022) - [i83]Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
PG3: Policy-Guided Planning for Generalized Policy Generation. CoRR abs/2204.10420 (2022) - [i82]Sathwik Karnik, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Gustavo Nunes Goretkin:
Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. CoRR abs/2206.02305 (2022) - [i81]Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Skills for Bilevel Planning. CoRR abs/2206.10680 (2022) - [i80]Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains. CoRR abs/2208.07737 (2022) - [i79]Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal:
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRR abs/2211.09786 (2022) - [i78]Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Visibility-Aware Navigation Among Movable Obstacles. CoRR abs/2212.02671 (2022) - [i77]Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain:
Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. CoRR abs/2212.04554 (2022) - 2021
- [j38]Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Integrated Task and Motion Planning. Annu. Rev. Control. Robotics Auton. Syst. 4: 265-293 (2021) - [j37]Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning compositional models of robot skills for task and motion planning. Int. J. Robotics Res. 40(6-7) (2021) - [j36]Frans A. Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling:
A Sufficient Statistic for Influence in Structured Multiagent Environments. J. Artif. Intell. Res. 70: 789-870 (2021) - [c157]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. AAAI 2021: 11782-11791 - [c156]Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. AAAI 2021: 11962-11971 - [c155]Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
A large-scale benchmark for few-shot program induction and synthesis. ICML 2021: 175-186 - [c154]Skye Thompson, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Shape-Based Transfer of Generic Skills. ICRA 2021: 5996-6002 - [c153]Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman:
Temporal and Object Quantification Networks. IJCAI 2021: 2804-2811 - [c152]Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Symbolic Operators for Task and Motion Planning. IROS 2021: 3182-3189 - [c151]Yoonchang Sung, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning When to Quit: Meta-Reasoning for Motion Planning. IROS 2021: 4692-4699 - [c150]Clement Gehring, Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling:
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization. NeurIPS 2021: 703-714 - [c149]Ferran Alet, Maria Bauzá, Kenji Kawaguchi, Nurullah Giray Kuru, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. NeurIPS 2021: 29206-29217 - [c148]Michael Noseworthy, Isaiah Brand, Caris Moses, Sebastian Castro, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Active Learning of Abstract Plan Feasibility. Robotics: Science and Systems 2021 - [i76]Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Symbolic Operators for Task and Motion Planning. CoRR abs/2103.00589 (2021) - [i75]Yoonchang Sung, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning When to Quit: Meta-Reasoning for Motion Planning. CoRR abs/2103.04374 (2021) - [i74]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. CoRR abs/2105.14074 (2021) - [i73]Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman:
Temporal and Object Quantification Networks. CoRR abs/2106.05891 (2021) - [i72]Michael Noseworthy, Caris Moses, Isaiah Brand, Sebastian Castro, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Active Learning of Abstract Plan Feasibility. CoRR abs/2107.00683 (2021) - [i71]Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett:
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. CoRR abs/2108.04145 (2021) - [i70]Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Discovering State and Action Abstractions for Generalized Task and Motion Planning. CoRR abs/2109.11082 (2021) - [i69]Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz:
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. CoRR abs/2109.14830 (2021) - [i68]Leslie Pack Kaelbling, Alex LaGrassa, Tomás Lozano-Pérez:
Specifying and achieving goals in open uncertain robot-manipulation domains. CoRR abs/2112.11199 (2021) - 2020
- [c147]Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. AAAI 2020: 9916-9924 - [c146]Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum:
Few-Shot Bayesian Imitation Learning with Logical Program Policies. AAAI 2020: 10251-10258 - [c145]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning. ICAPS 2020: 440-448 - [c144]Kenji Kawaguchi, Leslie Pack Kaelbling:
Elimination of All Bad Local Minima in Deep Learning. AISTATS 2020: 853-863 - [c143]Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRL 2020: 64-79 - [c142]Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Meta-learning curiosity algorithms. ICLR 2020 - [c141]Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox:
Online Replanning in Belief Space for Partially Observable Task and Motion Problems. ICRA 2020: 5678-5684 - [c140]Caris Moses, Michael Noseworthy, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Visual Prediction of Priors for Articulated Object Interaction. ICRA 2020: 10480-10486 - [c139]Adarsh K. Jeewajee, Leslie Pack Kaelbling:
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models. NeurIPS 2020 - [i67]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning. CoRR abs/2001.08299 (2020) - [i66]Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Meta-learning curiosity algorithms. CoRR abs/2003.05325 (2020) - [i65]Caris Moses, Michael Noseworthy, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Visual Prediction of Priors for Articulated Object Interaction. CoRR abs/2006.03979 (2020) - [i64]Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning compositional models of robot skills for task and motion planning. CoRR abs/2006.06444 (2020) - [i63]Adarsh K. Jeewajee, Leslie Pack Kaelbling:
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models. CoRR abs/2007.05033 (2020) - [i62]Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRR abs/2007.13202 (2020) - [i61]Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. CoRR abs/2009.05613 (2020) - [i60]Ferran Alet, Kenji Kawaguchi, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. CoRR abs/2009.10623 (2020) - [i59]Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Integrated Task and Motion Planning. CoRR abs/2010.01083 (2020) - [i58]Yilun Du, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Online Data Association. CoRR abs/2011.03183 (2020)
2010 – 2019
- 2019
- [j35]Beomjoon Kim, Zi Wang, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning to guide task and motion planning using score-space representation. Int. J. Robotics Res. 38(7) (2019) - [j34]Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling, Jonathan P. How:
Modeling and Planning with Macro-Actions in Decentralized POMDPs. J. Artif. Intell. Res. 64: 817-859 (2019) - [j33]Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling:
Effect of Depth and Width on Local Minima in Deep Learning. Neural Comput. 31(7): 1462-1498 (2019) - [j32]Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling:
Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning. Neural Comput. 31(12): 2293-2323 (2019) - [c138]Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience. AAAI 2019: 8017-8024 - [c137]Victoria Xia, Zi Wang, Kelsey R. Allen, Tom Silver, Leslie Pack Kaelbling:
Learning sparse relational transition models. ICLR (Poster) 2019 - [c136]Ferran Alet, Adarsh Keshav Jeewajee, Maria Bauzá Villalonga, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Graph Element Networks: adaptive, structured computation and memory. ICML 2019: 212-222 - [c135]Anurag Ajay, Maria Bauzá, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling:
Combining Physical Simulators and Object-Based Networks for Control. ICRA 2019: 3217-3223 - [c134]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Quickly to Plan Quickly Using Modular Meta-Learning. ICRA 2019: 7865-7871 - [c133]Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez:
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. IROS 2019: 4265-4272 - [c132]Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Neural Relational Inference with Fast Modular Meta-learning. NeurIPS 2019: 11804-11815 - [c131]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems 2019 - [e2]Leslie Pack Kaelbling, Danica Kragic, Komei Sugiura:
3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings. Proceedings of Machine Learning Research 100, PMLR 2019 [contents] - [i57]Kenji Kawaguchi, Leslie Pack Kaelbling:
Elimination of All Bad Local Minima in Deep Learning. CoRR abs/1901.00279 (2019) - [i56]Gustavo Goretkin, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Look before you sweep: Visibility-aware motion planning. CoRR abs/1901.06109 (2019) - [i55]Kenji Kawaguchi, Leslie Pack Kaelbling:
Every Local Minimum is a Global Minimum of an Induced Model. CoRR abs/1904.03673 (2019) - [i54]Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum:
Few-Shot Bayesian Imitation Learning with Logic over Programs. CoRR abs/1904.06317 (2019) - [i53]Anurag Ajay, Maria Bauzá, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling:
Combining Physical Simulators and Object-Based Networks for Control. CoRR abs/1904.06580 (2019) - [i52]Ferran Alet, Adarsh K. Jeewajee, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Graph Element Networks: adaptive, structured computation and memory. CoRR abs/1904.09019 (2019) - [i51]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. CoRR abs/1905.11602 (2019) - [i50]Frans A. Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling:
A Sufficient Statistic for Influence in Structured Multiagent Environments. CoRR abs/1907.09278 (2019) - [i49]Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez:
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. CoRR abs/1910.00618 (2019) - [i48]Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox:
Online Replanning in Belief Space for Partially Observable Task and Motion Problems. CoRR abs/1911.04577 (2019) - 2018
- [j31]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
FFRob: Leveraging symbolic planning for efficient task and motion planning. Int. J. Robotics Res. 37(1): 104-136 (2018) - [j30]Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Provably safe robot navigation with obstacle uncertainty. Int. J. Robotics Res. 37(13-14) (2018) - [j29]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Sampling-based methods for factored task and motion planning. Int. J. Robotics Res. 37(13-14) (2018) - [j28]George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning. J. Artif. Intell. Res. 61: 215-289 (2018) - [c130]Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience. AAAI 2018: 6509-6516 - [c129]Clement Gehring, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Adaptable replanning with compressed linear action models for learning from demonstrations. CoRL 2018: 432-442 - [c128]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning What Information to Give in Partially Observed Domains. CoRL 2018: 724-733 - [c127]Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Modular meta-learning. CoRL 2018: 856-868 - [c126]Yewen Pu, Zachery Miranda, Armando Solar-Lezama, Leslie Pack Kaelbling:
Selecting Representative Examples for Program Synthesis. ICML 2018: 4158-4167 - [c125]Ariel S. Anders, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Reliably Arranging Objects in Uncertain Domains. ICRA 2018: 1603-1610 - [c124]Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Finding Frequent Entities in Continuous Data. IJCAI 2018: 1992-1999 - [c123]Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauzá, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez:
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. IROS 2018: 3066-3073 - [c122]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization. IROS 2018: 3551-3558 - [c121]Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Active Model Learning and Diverse Action Sampling for Task and Motion Planning. IROS 2018: 4107-4114 - [c120]Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling:
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior. NeurIPS 2018: 10498-10509 - [c119]Gustavo Goretkin, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Look Before You Sweep: Visibility-Aware Motion Planning. WAFR 2018: 373-388 - [i47]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Sampling-Based Methods for Factored Task and Motion Planning. CoRR abs/1801.00680 (2018) - [i46]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
STRIPStream: Integrating Symbolic Planners and Blackbox Samplers. CoRR abs/1802.08705 (2018) - [i45]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Integrating Human-Provided Information Into Belief State Representation Using Dynamic Factorization. CoRR abs/1803.00119 (2018) - [i44]Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Active model learning and diverse action sampling for task and motion planning. CoRR abs/1803.00967 (2018) - [i43]Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Finding Frequent Entities in Continuous Data. CoRR abs/1805.02874 (2018) - [i42]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Planning to Give Information in Partially Observed Domains with a Learned Weighted Entropy Model. CoRR abs/1805.08263 (2018) - [i41]Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Modular meta-learning. CoRR abs/1806.10166 (2018) - [i40]Beomjoon Kim, Zi Wang, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning to guide task and motion planning using score-space representation. CoRR abs/1807.09962 (2018) - [i39]Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauzá, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez:
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. CoRR abs/1808.03246 (2018) - [i38]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Quickly to Plan Quickly Using Modular Meta-Learning. CoRR abs/1809.07878 (2018) - [i37]Victoria Xia, Zi Wang, Leslie Pack Kaelbling:
Learning sparse relational transition models. CoRR abs/1810.11177 (2018) - [i36]Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling:
Effect of Depth and Width on Local Minima in Deep Learning. CoRR abs/1811.08150 (2018) - [i35]Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling:
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior. CoRR abs/1811.09558 (2018) - [i34]Tom Silver, Kelsey R. Allen, Josh Tenenbaum, Leslie Pack Kaelbling:
Residual Policy Learning. CoRR abs/1812.06298 (2018) - [i33]Ferran Alet, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Modular meta-learning in abstract graph networks for combinatorial generalization. CoRR abs/1812.07768 (2018) - 2017
- [c118]Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning composable models of parameterized skills. ICRA 2017: 886-893 - [c117]Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning to guide task and motion planning using score-space representation. ICRA 2017: 2810-2817 - [c116]Zi Wang, Stefanie Jegelka, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Focused model-learning and planning for non-Gaussian continuous state-action systems. ICRA 2017: 3754-3761 - [c115]Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Provably Safe Robot Navigation with Obstacle Uncertainty. Robotics: Science and Systems 2017 - [c114]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Sample-Based Methods for Factored Task and Motion Planning. Robotics: Science and Systems 2017 - [c113]Leslie Pack Kaelbling:
Intelligent Robots in an Uncertain World. UAI 2017 - [c112]Yewen Pu, Leslie Pack Kaelbling, Armando Solar-Lezama:
Learning to Acquire Information. UAI 2017 - [i32]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
STRIPS Planning in Infinite Domains. CoRR abs/1701.00287 (2017) - [i31]Yewen Pu, Leslie Pack Kaelbling, Armando Solar-Lezama:
Learning to Acquire Information. CoRR abs/1704.06131 (2017) - [i30]Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Provably Safe Robot Navigation with Obstacle Uncertainty. CoRR abs/1705.10907 (2017) - [i29]Kenji Kawaguchi, Leslie Pack Kaelbling, Yoshua Bengio:
Generalization in Deep Learning. CoRR abs/1710.05468 (2017) - [i28]Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples. CoRR abs/1711.01391 (2017) - [i27]Yewen Pu, Zachery Miranda, Armando Solar-Lezama, Leslie Pack Kaelbling:
Learning to select examples for program synthesis. CoRR abs/1711.03243 (2017) - 2016
- [j27]Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling:
Policy search for multi-robot coordination under uncertainty. Int. J. Robotics Res. 35(14): 1760-1778 (2016) - [c111]Xinkun Nie, Lawson L. S. Wong, Leslie Pack Kaelbling:
Searching for physical objects in partially known environments. ICRA 2016: 5403-5410 - [c110]Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Implicit belief-space pre-images for hierarchical planning and execution. ICRA 2016: 5455-5462 - [c109]Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning to Rank for Synthesizing Planning Heuristics. IJCAI 2016: 3089-3095 - [c108]Lawson L. S. Wong, Thanard Kurutach, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures. IJCAI 2016: 3513-3521 - [c107]Ashwin Deshpande, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Decidability of Semi-Holonomic Prehensile Task and Motion Planning. WAFR 2016: 544-559 - [i26]Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Bayesian Optimization with Exponential Convergence. CoRR abs/1604.01348 (2016) - [i25]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Backward-Forward Search for Manipulation Planning. CoRR abs/1604.03468 (2016) - [i24]Zi Wang, Stefanie Jegelka, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems. CoRR abs/1607.07762 (2016) - [i23]Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning to Rank for Synthesizing Planning Heuristics. CoRR abs/1608.01302 (2016) - [i22]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
FFRob: Leveraging Symbolic Planning for Efficient Task and Motion Planning. CoRR abs/1608.01335 (2016) - 2015
- [j26]Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Data association for semantic world modeling from partial views. Int. J. Robotics Res. 34(7): 1064-1082 (2015) - [c106]Christopher Amato, George Dimitri Konidaris, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Jonathan P. How, Leslie Pack Kaelbling:
Probabilistic Planning for Decentralized Multi-Robot Systems. AAAI Fall Symposia 2015: 10-12 - [c105]Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling:
Planning for decentralized control of multiple robots under uncertainty. ICRA 2015: 1241-1248 - [c104]George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Symbol Acquisition for Probabilistic High-Level Planning. IJCAI 2015: 3619-3627 - [c103]Gilwoo Lee, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Hierarchical planning for multi-contact non-prehensile manipulation. IROS 2015: 264-271 - [c102]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Backward-forward search for manipulation planning. IROS 2015: 6366-6373 - [c101]Beomjoon Kim, Albert Kim, Hongkai Dai, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Generalizing Over Uncertain Dynamics for Online Trajectory Generation. ISRR (2) 2015: 39-55 - [c100]Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Bayesian Optimization with Exponential Convergence. NIPS 2015: 2809-2817 - [c99]Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling:
Policy Search for Multi-Robot Coordination under Uncertainty. Robotics: Science and Systems 2015 - [i21]Lawson L. S. Wong, Thanard Kurutach, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Object-based World Modeling in Semi-Static Environments with Dependent Dirichlet-Process Mixtures. CoRR abs/1512.00573 (2015) - 2014
- [c98]George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Constructing Symbolic Representations for High-Level Planning. AAAI 2014: 1932-1938 - [c97]Noel Hollingsworth, Jason Meyer, Ryan McGee, Jeffrey Doering, George Dimitri Konidaris, Leslie Pack Kaelbling:
Optimizing a Start-Stop Controller Using Policy Search. AAAI 2014: 2984-2989 - [c96]Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling:
Planning with macro-actions in decentralized POMDPs. AAMAS 2014: 1273-1280 - [c95]Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Not seeing is also believing: Combining object and metric spatial information. ICRA 2014: 1253-1260 - [c94]Patrick R. Barragan, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Interactive Bayesian identification of kinematic mechanisms. ICRA 2014: 2013-2020 - [c93]Jared Glover, Leslie Pack Kaelbling:
Tracking the spin on a ping pong ball with the quaternion Bingham filter. ICRA 2014: 4133-4140 - [c92]Tomás Lozano-Pérez, Leslie Pack Kaelbling:
A constraint-based method for solving sequential manipulation planning problems. IROS 2014: 3684-3691 - [c91]Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
FFRob: An Efficient Heuristic for Task and Motion Planning. WAFR 2014: 179-195 - [i20]Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling:
Planning for Decentralized Control of Multiple Robots Under Uncertainty. CoRR abs/1402.2871 (2014) - [i19]Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling:
Learning to Cooperate via Policy Search. CoRR abs/1408.1484 (2014) - 2013
- [j25]Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Integrated task and motion planning in belief space. Int. J. Robotics Res. 32(9-10): 1194-1227 (2013) - [c90]George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Symbol Acquisition for Task-Level Planning. AAAI Workshop: Learning Rich Representations from Low-Level Sensors 2013 - [c89]Jennifer L. Barry, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
A hierarchical approach to manipulation with diverse actions. ICRA 2013: 1799-1806 - [c88]Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Manipulation-based active search for occluded objects. ICRA 2013: 2814-2819 - [c87]Anne Holladay, Jennifer L. Barry, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Object placement as inverse motion planning. ICRA 2013: 3715-3721 - [c86]Dylan Hadfield-Menell, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Optimization in the now: Dynamic peephole optimization for hierarchical planning. ICRA 2013: 4560-4567 - [c85]Martin Levihn, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Mike Stilman:
Foresight and reconsideration in hierarchical planning and execution. IROS 2013: 224-231 - [c84]Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Data Association for Semantic World Modeling from Partial Views. ISRR 2013: 431-448 - [i18]Sarah Finney, Natalia Gardiol, Leslie Pack Kaelbling, Tim Oates:
The Thing That We Tried Didn't Work Very Well : Deictic Representation in Reinforcement Learning. CoRR abs/1301.0567 (2013) - [i17]Luis E. Ortiz, Leslie Pack Kaelbling:
Adaptive Importance Sampling for Estimation in Structured Domains. CoRR abs/1301.3882 (2013) - [i16]Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra:
Solving POMDPs by Searching the Space of Finite Policies. CoRR abs/1301.6720 (2013) - [i15]Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling:
Learning Finite-State Controllers for Partially Observable Environments. CoRR abs/1301.6721 (2013) - [i14]Luis E. Ortiz, Leslie Pack Kaelbling:
Accelerating EM: An Empirical Study. CoRR abs/1301.6730 (2013) - [i13]Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier:
Hierarchical Solution of Markov Decision Processes using Macro-actions. CoRR abs/1301.7381 (2013) - [i12]Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling:
On the Complexity of Solving Markov Decision Problems. CoRR abs/1302.4971 (2013) - [i11]Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson:
Deliberation Scheduling for Time-Critical Sequential Decision Making. CoRR abs/1303.1491 (2013) - 2012
- [c83]Frans Adriaan Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling:
Influence-Based Abstraction for Multiagent Systems. AAAI 2012: 1422-1428 - [c82]Stefan J. Witwicki, Frans A. Oliehoek, Leslie Pack Kaelbling:
Heuristic search of multiagent influence space. AAMAS 2012: 973-980 - [c81]Owen Macindoe, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
POMCoP: Belief Space Planning for Sidekicks in Cooperative Games. AIIDE 2012 - [c80]Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Collision-free state estimation. ICRA 2012: 223-228 - [c79]Alejandro Perez, Robert Platt Jr., George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics. ICRA 2012: 2537-2542 - [c78]Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Unifying perception, estimation and action for mobile manipulation via belief space planning. ICRA 2012: 2952-2959 - [c77]Robert Platt Jr., Leslie Pack Kaelbling, Tomás Lozano-Pérez, Russ Tedrake:
Non-Gaussian belief space planning: Correctness and complexity. ICRA 2012: 4711-4717 - [c76]Jennifer L. Barry, Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Manipulation with Multiple Action Types. ISER 2012: 531-545 - [i10]Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling:
Learning Probabilistic Relational Dynamics for Multiple Tasks. CoRR abs/1206.5249 (2012) - [i9]Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant:
CAPIR: Collaborative Action Planning with Intention Recognition. CoRR abs/1206.5928 (2012) - 2011
- [j24]Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Robust grasping under object pose uncertainty. Auton. Robots 31(2-3): 253-268 (2011) - [c75]Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant:
CAPIR: Collaborative Action Planning with Intention Recognition. AIIDE 2011 - [c74]Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Hierarchical task and motion planning in the now. ICRA 2011: 1470-1477 - [c73]David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
Bayesian Policy Search with Policy Priors. IJCAI 2011: 1565-1570 - [c72]Jennifer L. Barry, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
DetH*: Approximate Hierarchical Solution of Large Markov Decision Processes. IJCAI 2011: 1928-1935 - [c71]Robert Platt Jr., Leslie Pack Kaelbling, Tomás Lozano-Pérez, Russ Tedrake:
Efficient Planning in Non-Gaussian Belief Spaces and Its Application to Robot Grasping. ISRR 2011: 253-269 - [c70]Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Pre-image Backchaining in Belief Space for Mobile Manipulation. ISRR 2011: 383-400 - [i8]Leslie Pack Kaelbling, Hagit Shatkay:
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap. CoRR abs/1106.0680 (2011) - [i7]Leslie Pack Kaelbling, Hanna M. Pasula, Luke S. Zettlemoyer:
Learning Symbolic Models of Stochastic Domains. CoRR abs/1110.2211 (2011) - 2010
- [j23]David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell Jr., Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan:
Reports of the AAAI 2010 Conference Workshops. AI Mag. 31(4): 95-108 (2010) - [j22]Emma Brunskill, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Planning in partially-observable switching-mode continuous domains. Ann. Math. Artif. Intell. 58(3-4): 185-216 (2010) - [j21]Leslie Pack Kaelbling:
Technical perspective - New bar set for intelligent vehicles. Commun. ACM 53(4): 98 (2010) - [c69]Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Hierarchical Planning in the Now. Bridging the Gap Between Task and Motion Planning 2010 - [c68]Han-Pang Chiu, Huan Liu, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Class-specific grasping of 3D objects from a single 2D image. IROS 2010: 579-585 - [c67]Leslie Pack Kaelbling:
Intelligent Interaction with the Real World. ECML/PKDD (1) 2010: 3 - [c66]Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Task-Driven Tactile Exploration. Robotics: Science and Systems 2010 - [c65]Robert Platt Jr., Russ Tedrake, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Belief space planning assuming maximum likelihood observations. Robotics: Science and Systems 2010
2000 – 2009
- 2009
- [j20]Han-Pang Chiu, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning to generate novel views of objects for class recognition. Comput. Vis. Image Underst. 113(12): 1183-1197 (2009) - [j19]Michael G. Ross, Leslie Pack Kaelbling:
Segmentation According to Natural Examples: Learning Static Segmentation from Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 31(4): 661-676 (2009) - 2008
- [j18]Paulina Varshavskaya, Leslie Pack Kaelbling, Daniela Rus:
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning. Int. J. Robotics Res. 27(3-4): 505-526 (2008) - [c64]Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling:
Lifted Probabilistic Inference with Counting Formulas. AAAI 2008: 1062-1068 - [c63]Paulina Varshavskaya, Leslie Pack Kaelbling, Daniela Rus:
Efficient Distributed Reinforcement Learning through Agreement. DARS 2008: 367-378 - [c62]Emma Brunskill, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Continuous-State POMDPs with Hybrid Dynamics. ISAIM 2008 - [c61]Luke S. Zettlemoyer, Brian Milch, Leslie Pack Kaelbling:
Multi-Agent Filtering with Infinitely Nested Beliefs. NIPS 2008: 1905-1912 - [i6]Meg Aycinena Lippow, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Grammatical Models for Object Recognition. Logic and Probability for Scene Interpretation 2008 - 2007
- [j17]Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling:
Learning Symbolic Models of Stochastic Domains. J. Artif. Intell. Res. 29: 309-352 (2007) - [c60]Natalia Hernandez-Gardiol, Leslie Pack Kaelbling:
Action-Space Partitioning for Planning. AAAI 2007: 980-986 - [c59]Han-Pang Chiu, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Virtual Training for Multi-View Object Class Recognition. CVPR 2007 - [c58]Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Grasping POMDPs. ICRA 2007: 4685-4692 - [c57]Daniel M. Roy, Leslie Pack Kaelbling:
Efficient Bayesian Task-Level Transfer Learning. IJCAI 2007: 2599-2604 - [c56]Sarah Finney, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Predicting Partial Paths from Planning Problem Parameters. Robotics: Science and Systems 2007 - [c55]Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling:
Learning Probabilistic Relational Dynamics for Multiple Tasks. UAI 2007: 83-92 - [i5]Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling:
Learning Probabilistic Relational Dynamics for Multiple Tasks. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007 - [i4]Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack Kaelbling:
Logical Particle Filtering. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007 - 2005
- [c54]Luke S. Zettlemoyer, Hanna Pasula, Leslie Pack Kaelbling:
Learning Planning Rules in Noisy Stochastic Worlds. AAAI 2005: 911-918 - [c53]Michael G. Ross, Leslie Pack Kaelbling:
Learning Static Object Segmentation from Motion Segmentation. AAAI 2005: 956-961 - [c52]Yu-Han Chang, Leslie Pack Kaelbling:
Hedged learning: regret-minimization with learning experts. ICML 2005: 121-128 - [e1]Leslie Pack Kaelbling, Alessandro Saffiotti:
IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30 - August 5, 2005. Professional Book Center 2005, ISBN 0938075934 [contents] - 2004
- [c51]Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling:
Multi-Agent Learning in Mobilized Ad-Hoc Networks. AAAI Technical Report (2) 2004: 81-88 - [c50]Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling:
Learning Probabilistic Relational Planning Rules. ICAPS 2004: 73-82 - [c49]Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling:
Mobilized Ad-Hoc Networks: A Reinforcement Learning Approach. ICAC 2004: 240-247 - [c48]Georgios Theocharous, Kevin P. Murphy, Leslie Pack Kaelbling:
Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization. ICRA 2004: 1045-1051 - [c47]Paulina Varshavskaya, Leslie Pack Kaelbling, Daniela Rus:
Learning distributed control for modular robots. IROS 2004: 2648-2653 - [c46]Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling:
Learning Probabilistic Relational Planning Rules. KR 2004: 683-691 - 2003
- [j16]Brett R. Fajen, William H. Warren, Selim Temizer, Leslie Pack Kaelbling:
A Dynamical Model of Visually-Guided Steering, Obstacle Avoidance, and Route Selection. Int. J. Comput. Vis. 54(1-3): 13-34 (2003) - [c45]Georgios Theocharous, Leslie Pack Kaelbling:
Approximate Planning in POMDPs with Macro-Actions. NIPS 2003: 775-782 - [c44]Natalia Hernandez-Gardiol, Leslie Pack Kaelbling:
Envelope-based Planning in Relational MDPs. NIPS 2003: 783-790 - [c43]Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling:
All learning is Local: Multi-agent Learning in Global Reward Games. NIPS 2003: 807-814 - 2002
- [j15]Hagit Shatkay, Leslie Pack Kaelbling:
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap. J. Artif. Intell. Res. 16: 167-207 (2002) - [c42]Terran Lane, Leslie Pack Kaelbling:
Nearly Deterministic Abstractions of Markov Decision Processes. AAAI/IAAI 2002: 260-266 - [c41]William D. Smart, Leslie Pack Kaelbling:
Effective Reinforcement Learning for Mobile Robots. ICRA 2002: 3404-3410 - [c40]Sarah Finney, Natalia Gardiol, Leslie Pack Kaelbling, Tim Oates:
The Thing that we Tried Didn't Work very Well: Deictic Representation in Reinforcement Learning. UAI 2002: 154-161 - 2001
- [c39]Selim Temizer, Leslie Pack Kaelbling:
Holonomic planar motion from non-holonomic driving mechanisms: the front-point method. Mobile Robots 2001: 56-67 - [c38]William D. Smart, Leslie Pack Kaelbling:
Reinforcement learning for robot control. Mobile Robots 2001: 92-103 - [c37]Terran Lane, Leslie Pack Kaelbling:
Approaches to macro decompositions of large Markov decision process planning problems. Mobile Robots 2001: 104-113 - [c36]Yu-Han Chang, Leslie Pack Kaelbling:
Playing is believing: The role of beliefs in multi-agent learning. NIPS 2001: 1483-1490 - [i3]Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling:
Learning Policies with External Memory. CoRR cs.LG/0103003 (2001) - [i2]Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling:
Learning to Cooperate via Policy Search. CoRR cs.LG/0105032 (2001) - 2000
- [c35]Luis E. Ortiz, Leslie Pack Kaelbling:
Sampling Methods for Action Selection in Influence Diagrams. AAAI/IAAI 2000: 378-385 - [c34]Peter Ju, Leslie Pack Kaelbling, Yoram Singer:
State-based Classification of Finger Gestures from Electromyographic Signals. ICML 2000: 439-446 - [c33]William D. Smart, Leslie Pack Kaelbling:
Practical Reinforcement Learning in Continuous Spaces. ICML 2000: 903-910 - [c32]Luis E. Ortiz, Leslie Pack Kaelbling:
Adaptive Importance Sampling for Estimation in Structured Domains. UAI 2000: 446-454 - [c31]Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling:
Learning to Cooperate via Policy Search. UAI 2000: 489-496
1990 – 1999
- 1999
- [c30]Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling:
Learning Policies with External Memory. ICML 1999: 307-314 - [c29]Andrew W. Moore, Leemon C. Baird III, Leslie Pack Kaelbling:
Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs. IJCAI 1999: 1316-1323 - [c28]Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra:
Solving POMDPs by Searching the Space of Finite Policies. UAI 1999: 417-426 - [c27]Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling:
Learning Finite-State Controllers for Partially Observable Environments. UAI 1999: 427-436 - [c26]Luis E. Ortiz, Leslie Pack Kaelbling:
Accelerating EM: An Empirical Study. UAI 1999: 512-521 - 1998
- [j14]Andrew P. Duchon, Leslie Pack Kaelbling, William H. Warren:
Ecological Robotics. Adapt. Behav. 6(3-4): 473-507 (1998) - [j13]Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra:
Planning and Acting in Partially Observable Stochastic Domains. Artif. Intell. 101(1-2): 99-134 (1998) - [c25]Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier:
Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI 1998: 165-172 - [c24]William D. Smart, Leslie Pack Kaelbling:
A Framework for Reinforcement Learning on Real Robots. AAAI/IAAI 1998: 1202 - [c23]Hagit Shatkay, Leslie Pack Kaelbling:
Heading in the Right Direction. ICML 1998: 531-539 - [c22]Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier:
Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI 1998: 220-229 - 1997
- [c21]Hagit Shatkay, Leslie Pack Kaelbling:
Learning Topological Maps with Weak Local Odometric Information. IJCAI (2) 1997: 920-929 - 1996
- [j12]Sridhar Mahadevan, Leslie Pack Kaelbling:
The National Science Foundation Workshop on Reinforcement Learning. AI Mag. 17(4): 89-93 (1996) - [j11]Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore:
Reinforcement Learning: A Survey. J. Artif. Intell. Res. 4: 237-285 (1996) - [j10]Leslie Pack Kaelbling:
Introduction. Mach. Learn. 22(1-3): 7-9 (1996) - [c20]Anthony R. Cassandra, Leslie Pack Kaelbling, James Kurien:
Acting under uncertainty: discrete Bayesian models for mobile-robot navigation. IROS 1996: 963-972 - [c19]Leslie Pack Kaelbling:
On reinforcement learning for robots. IROS 1996: 1319-1320 - [i1]Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore:
Reinforcement Learning: A Survey. CoRR cs.AI/9605103 (1996) - 1995
- [j9]Kenneth Basye, Thomas L. Dean, Leslie Pack Kaelbling:
Learning Dynamics: System Identification for Perceptually Challenged Agents. Artif. Intell. 72(1-2): 139-171 (1995) - [j8]Stanley J. Rosenschein, Leslie Pack Kaelbling:
A Situated View of Representation and Control. Artif. Intell. 73(1-2): 149-173 (1995) - [j7]Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson:
Planning under Time Constraints in Stochastic Domains. Artif. Intell. 76(1-2): 35-74 (1995) - [j6]Thomas L. Dean, Dana Angluin, Kenneth Basye, Sean P. Engelson, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron:
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning. Mach. Learn. 18(1): 81-108 (1995) - [c18]Michael L. Littman, Anthony R. Cassandra, Leslie Pack Kaelbling:
Learning Policies for Partially Observable Environments: Scaling Up. ICML 1995: 362-370 - [c17]Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra:
Partially Observable Markov Decision Processes for Artificial Intelligence. KI 1995: 1-17 - [c16]Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra:
Partially Observable Markov Decision Processes for Artificial Intelligence. Reasoning with Uncertainty in Robotics 1995: 146-163 - [c15]Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling:
On the Complexity of Solving Markov Decision Problems. UAI 1995: 394-402 - 1994
- [j5]Leslie Pack Kaelbling:
Associative Reinforcement Learning: Functions in k-DNF. Mach. Learn. 15(3): 279-298 (1994) - [j4]Leslie Pack Kaelbling:
Associative Reinforcement Learning: A Generate and Test Algorithm. Mach. Learn. 15(3): 299-319 (1994) - [c14]Anthony R. Cassandra, Leslie Pack Kaelbling, Michael L. Littman:
Acting Optimally in Partially Observable Stochastic Domains. AAAI 1994: 1023-1028 - [c13]Leslie Pack Kaelbling:
Learning and intelligent Agents. ECAI 1994: 813 - 1993
- [b2]Leslie Pack Kaelbling:
Learning in embedded systems. MIT Press 1993, ISBN 978-0-262-11174-4, pp. I-XI, 1-176 - [c12]Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson:
Planning With Deadlines in Stochastic Domains. AAAI 1993: 574-579 - [c11]Leslie Pack Kaelbling:
Hierarchical Learning in Stochastic Domains: Preliminary Results. ICML 1993: 167-173 - [c10]Leslie Pack Kaelbling:
Learning to Achieve Goals. IJCAI 1993: 1094-1099 - [c9]Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson:
Deliberation Scheduling for Time-Critical Sequential Decision Making. UAI 1993: 309-316 - 1992
- [c8]Thomas L. Dean, Dana Angluin, Kenneth Basye, Sean P. Engelson, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron:
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning. AAAI 1992: 208-214 - 1991
- [j3]Leslie Pack Kaelbling:
Foundations of learning in autonomous agents. Robotics Auton. Syst. 8(1-2): 131-144 (1991) - [j2]Leslie Pack Kaelbling:
A Situated-Automata Approach to the Design of Embedded Agents. SIGART Bull. 2(4): 85-88 (1991) - [c7]David Chapman, Leslie Pack Kaelbling:
Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons. IJCAI 1991: 726-731 - 1990
- [b1]Leslie Pack Kaelbling:
Learning in embedded systems. Stanford University, USA, 1990 - [j1]Leslie Pack Kaelbling, Stanley J. Rosenschein:
Action and planning in embedded agents. Robotics Auton. Syst. 6(1-2): 35-48 (1990) - [c6]Leslie Pack Kaelbling:
Learning Functions in k-DNF from Reinforcement. ML 1990: 162-169
1980 – 1989
- 1989
- [c5]Leslie Pack Kaelbling:
A Formal Framework for Learning in Embedded Systems. ML 1989: 350-353 - [c4]Leslie Pack Kaelbling:
Intelligent Robots in the Real World. IFIP Congress 1989: 932-933 - 1988
- [c3]Leslie Pack Kaelbling:
Goals as Parallel Program Specifications. AAAI 1988: 60-64 - [c2]Leslie Pack Kaelbling:
Artificial Intelligence and Robotics. COMPCON 1988: 59-63 - 1986
- [c1]Stanley J. Rosenschein, Leslie Pack Kaelbling:
The Synthesis of Digital Machines With Provable Epistemic Properties. TARK 1986: 83-98
Coauthor Index
Maria Bauzá 0001
aka: Maria Bauzá Villalonga
aka: Maria Bauzá Villalonga
[i120] [i118] [c192] [c191] [c186] [c185] [c184] [c183] [c182] [i116] [i115] [i114] [i113] [i110] [i109] [i108] [i107] [i106] [i105] [i104] [i103] [i102] [i101] [c181] [c180] [c178] [c177] [c176] [c175] [c174] [c172] [c170] [c169] [i100] [i99] [i96] [i94] [i93] [i91] [i89] [i87] [i86] [j39] [c168] [c166] [c165] [c164] [c163] [c162] [c161] [c160] [c158] [i85] [i84] [i83] [i82] [i81] [i80] [i79] [i78] [j38] [j37] [c157] [c156] [c155] [c154] [c152] [c151] [c149] [c148] [i76] [i75] [i74] [i72] [i71] [i70] [i68] [c147] [c145] [c143] [c142] [c141] [c140] [i67] [i66] [i65] [i64] [i62] [i61] [i60] [i59] [i58] [j35] [c138] [c136] [c134] [c133] [c132] [c131] [i56] [i52] [i51] [i49] [i48] [j31] [j30] [j29] [j28] [c130] [c129] [c128] [c127] [c125] [c124] [c122] [c121] [c119] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i38] [i33] [c118] [c117] [c116] [c115] [c114] [i32] [i30] [i28] [c110] [c109] [c108] [c107] [i26] [i25] [i24] [i23] [i22] [j26] [c104] [c103] [c102] [c101] [c100] [i21] [c98] [c95] [c94] [c92] [c91] [j25] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c81] [c80] [c79] [c78] [c77] [c76] [i9] [j24] [c75] [c74] [c72] [c71] [c70] [j22] [c69] [c68] [c66] [c65] [j20] [c62] [i6] [c59] [c58] [c56]
[c193] [c190] [c184] [i115] [i104] [i102] [i101] [c181] [c180] [c178] [c175] [c171] [c170] [i99] [i98] [i96] [i95] [i91] [i90] [i88] [i87] [i86] [c168] [c166] [c161] [c158] [i84] [i81] [c157] [c156] [c155] [c153] [c152] [i76] [i74] [i73] [i70] [c146] [i67] [i61] [i58] [c135] [i54] [i53] [c123] [i39] [i34] [c73]
Luke Zettlemoyer
aka: Luke S. Zettlemoyer
aka: Luke S. Zettlemoyer
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