default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZongzhang Zhang
章宗长
Person information
- unicode name: 章宗长
- affiliation: Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China
- affiliation (former): Soochow University, School of Computer Science and Technology, Suzhou, China
- affiliation (former, PhD): University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
SPARQL queries 
🛈 Please note that only 71% of the items listed on this page have a DOI stored with their dblp record. Therefore, DOI-based queries can only provide partial results.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j7]Cong Guan, Tao Jiang, Yi-Chen Li
, Zongzhang Zhang, Lei Yuan, Yang Yu:
Constraining an Unconstrained Multi-agent Policy with offline data. Neural Networks 186: 107253 (2025)- [i30]Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu, Zongzhang Zhang:
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning. CoRR abs/2502.04778 (2025) - [i29]Wenjie Qiu, Yi-Chen Li, Xuqin Zhang, Tianyi Zhang, Yihang Zhang, Zongzhang Zhang, Yang Yu:
Sentence-level Reward Model can Generalize Better for Aligning LLM from Human Preference. CoRR abs/2503.04793 (2025) - 2024
- [j6]Chengxing Jia, Fuxiang Zhang, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang, Yang Yu:
Model gradient: unified model and policy learning in model-based reinforcement learning. Frontiers Comput. Sci. 18(4): 184339 (2024) - [j5]Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu:
Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation. Frontiers Comput. Sci. 18(6) (2024) - [c65]Chao Chen, Jiacheng Xu, Weijian Liao, Hao Ding, Zongzhang Zhang, Yang Yu, Rui Zhao:
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning. AAAI 2024: 11240-11248 - [c64]Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu:
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. AAAI 2024: 12127-12135 - [c63]Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu:
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. AAAI 2024: 17132-17140 - [c62]Rui Kong, Chenyang Wu, Zongzhang Zhang:
Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract). AAAI 2024: 23546-23547 - [c61]Yujian Zhu, Hao Ding, Zongzhang Zhang:
Multi-Expert Distillation for Few-Shot Coordination (Student Abstract). AAAI 2024: 23717-23719 - [c60]Chao Chen, Dawei Wang, Feng Mao, Jiacheng Xu, Zongzhang Zhang, Yang Yu:
Deep Anomaly Detection via Active Anomaly Search. AAMAS 2024: 308-316 - [c59]Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu:
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. AAMAS 2024: 944-953 - [c58]Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang:
Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning. ICLR 2024 - [c57]Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu:
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. ICLR 2024 - [c56]Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu:
Language Model Self-improvement by Reinforcement Learning Contemplation. ICLR 2024 - [c55]Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, XuHui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang:
Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration. ICML 2024 - [c54]Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu:
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. ICML 2024 - [c53]Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li:
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization. IJCAI 2024: 4317-4325 - [c52]Tao Jiang, Lei Yuan, Lihe Li, Cong Guan, Zongzhang Zhang, Yang Yu:
Multi-Agent Domain Calibration with a Handful of Offline Data. NeurIPS 2024 - [c51]Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li:
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. NeurIPS 2024 - [i28]Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu:
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. CoRR abs/2402.11317 (2024) - [i27]Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian:
Reinforced In-Context Black-Box Optimization. CoRR abs/2402.17423 (2024) - [i26]Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu:
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. CoRR abs/2403.07261 (2024) - [i25]Feng Xu, Yan Yin, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Zongzhang Zhang:
Alpha2: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning. CoRR abs/2406.16505 (2024) - [i24]Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu:
Q-Adapter: Training Your LLM Adapter as a Residual Q-Function. CoRR abs/2407.03856 (2024) - [i23]Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye:
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models. CoRR abs/2407.03964 (2024) - [i22]Chen-Xiao Gao, Shengjun Fang, Chenjun Xiao, Yang Yu, Zongzhang Zhang:
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning. CoRR abs/2407.04451 (2024) - [i21]Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li:
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. CoRR abs/2410.20750 (2024) - [i20]Feng Chen, Fuguang Han, Cong Guan, Lei Yuan, Zhilong Zhang, Yang Yu, Zongzhang Zhang:
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay. CoRR abs/2411.10809 (2024) - 2023
- [c50]Weijian Liao, Zongzhang Zhang, Yang Yu:
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning. AAAI 2023: 8746-8754 - [c49]Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu:
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract). AAAI 2023: 16180-16181 - [c48]Feng Chen, Chenghe Wang, Fuxiang Zhang, Hao Ding, Qiaoyong Zhong, Shiliang Pu, Zongzhang Zhang:
Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract). AAAI 2023: 16182-16183 - [c47]Fuguang Han, Zongzhang Zhang:
Expert Data Augmentation in Imitation Learning (Student Abstract). AAAI 2023: 16220-16221 - [c46]Yi-Chen Li, Wen-Jie Shen, Boyu Zhang, Feng Mao, Zongzhang Zhang, Yang Yu:
Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract). AAAI 2023: 16258-16259 - [c45]Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu:
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract). AAAI 2023: 16356-16357 - [c44]Renzhe Zhou, Zongzhang Zhang, Yang Yu:
Model-Based Offline Weighted Policy Optimization (Student Abstract). AAAI 2023: 16392-16393 - [c43]Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu:
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. AAMAS 2023: 1276-1284 - [c42]Fuxiang Zhang, Chengxing Jia, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang:
Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data. ICLR 2023 - [c41]Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu:
Retrosynthetic Planning with Dual Value Networks. ICML 2023: 22266-22276 - [c40]Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu:
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. ICML 2023: 28701-28717 - [c39]Jiacheng Xu, Chao Chen, Fuxiang Zhang, Lei Yuan, Zongzhang Zhang, Yang Yu:
Internal Logical Induction for Pixel-Symbolic Reinforcement Learning. KDD 2023: 2825-2837 - [i19]Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu:
Retrosynthetic Planning with Dual Value Networks. CoRR abs/2301.13755 (2023) - [i18]Cong Guan, Feng Chen, Lei Yuan, Zongzhang Zhang, Yang Yu:
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning. CoRR abs/2302.09605 (2023) - [i17]Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu:
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. CoRR abs/2303.02073 (2023) - [i16]Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu:
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation. CoRR abs/2305.05116 (2023) - [i15]Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu:
Robust Multi-agent Communication via Multi-view Message Certification. CoRR abs/2305.13936 (2023) - [i14]Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu:
Language Model Self-improvement by Reinforcement Learning Contemplation. CoRR abs/2305.14483 (2023) - [i13]Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu:
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. CoRR abs/2306.06569 (2023) - [i12]Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu:
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. CoRR abs/2309.05915 (2023) - [i11]Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Anqi Huang, Kai Xu, Zongzhang Zhang, Yang Yu:
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. CoRR abs/2310.05712 (2023) - [i10]Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang:
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning. CoRR abs/2312.04819 (2023) - [i9]Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu:
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. CoRR abs/2312.15909 (2023) - 2022
- [c38]Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang:
Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy. AAAI 2022: 7637-7646 - [c37]Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang:
Multi-Agent Incentive Communication via Decentralized Teammate Modeling. AAAI 2022: 9466-9474 - [c36]Di Xue, Lei Yuan, Zongzhang Zhang, Yang Yu:
Efficient Multi-Agent Communication via Shapley Message Value. IJCAI 2022: 578-584 - [c35]Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu:
Multi-Agent Concentrative Coordination with Decentralized Task Representation. IJCAI 2022: 599-605 - [c34]Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu:
Multi-agent Dynamic Algorithm Configuration. NeurIPS 2022 - [c33]Cong Guan, Feng Chen, Lei Yuan, Chenghe Wang, Hao Yin, Zongzhang Zhang, Yang Yu:
Efficient Multi-agent Communication via Self-supervised Information Aggregation. NeurIPS 2022 - [c32]Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu:
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning. NeurIPS 2022 - [i8]Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Zongzhang Zhang, Chongjie Zhang, Yang Yu:
Multi-Agent Policy Transfer via Task Relationship Modeling. CoRR abs/2203.04482 (2022) - [i7]Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu:
Multi-agent Dynamic Algorithm Configuration. CoRR abs/2210.06835 (2022) - 2021
- [j4]Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhaopeng Meng, Tianpei Yang, Yanran Li, Changjie Fan:
Efficient policy detecting and reusing for non-stationarity in Markov games. Auton. Agents Multi Agent Syst. 35(1): 2 (2021) - [c31]Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu:
LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract). AAAI 2021: 15927-15928 - [c30]Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu:
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). AAAI 2021: 15937-15938 - [c29]Xiong-Hui Chen, Shengyi Jiang, Feng Xu, Zongzhang Zhang, Yang Yu:
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning. NeurIPS 2021: 12520-12532 - [c28]Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao:
Adaptive Online Packing-guided Search for POMDPs. NeurIPS 2021: 28419-28430 - 2020
- [j3]Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhao-Peng Meng, Xiaotian Hao:
Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments. J. Comput. Sci. Technol. 35(2): 268-280 (2020) - [c27]Chong Jiang, Zongzhang Zhang, Zixuan Chen, Jiacheng Zhu, Junpeng Jiang:
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract). AAAI 2020: 13819-13820 - [c26]Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang:
Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract). AAAI 2020: 13997-13998 - [c25]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS 2020: 2053-2055 - [c24]Linjing Zhang, Zongzhang Zhang:
Double Replay Buffers with Restricted Gradient. ICONIP (2) 2020: 295-306 - [c23]Zhen Wu, Zongzhang Zhang, Xiaofang Zhang:
Recency-Weighted Acceleration for Continuous Control Through Deep Reinforcement Learning. ICONIP (2) 2020: 604-615 - [c22]Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu:
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. IJCAI 2020: 2929-2935 - [c21]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI 2020: 3094-3100 - [i6]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning through Policy Transfer. CoRR abs/2002.08037 (2020) - [i5]Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu:
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. CoRR abs/2005.10622 (2020)
2010 – 2019
- 2019
- [j2]Shan Zhong, Quan Liu, Zongzhang Zhang, Qiming Fu:
Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation. Frontiers Comput. Sci. 13(1): 106-126 (2019) - [c20]Zixuan Chen, Zongzhang Zhang:
Deep Recurrent Policy Networks for Planning Under Partial Observability. ICANN (1) 2019: 598-610 - [c19]Yishen Wang, Zongzhang Zhang:
Experience Selection in Multi-agent Deep Reinforcement Learning. ICTAI 2019: 864-870 - [c18]Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer:
Monte Carlo Tree Search for Policy Optimization. IJCAI 2019: 3116-3122 - [i4]Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer:
Monte-Carlo Tree Search for Policy Optimization. CoRR abs/1912.10648 (2019) - 2018
- [c17]Zhiyuan Pan, Zongzhang Zhang, Zixuan Chen:
Asynchronous Value Iteration Network. ICONIP (2) 2018: 169-180 - [c16]Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan:
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents. NeurIPS 2018: 962-972 - [c15]Jiahao Lin, Zongzhang Zhang:
ACGAIL: Imitation Learning About Multiple Intentions with Auxiliary Classifier GANs. PRICAI (1) 2018: 321-334 - [c14]Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang:
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. PRICAI 2018: 421-429 - [i3]Yan Zheng, Jianye Hao, Zongzhang Zhang:
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. CoRR abs/1802.08534 (2018) - [i2]Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang:
Hierarchical Deep Multiagent Reinforcement Learning. CoRR abs/1809.09332 (2018) - 2017
- [c13]Zongzhang Zhang, Zhiyuan Pan, Mykel J. Kochenderfer:
Weighted Double Q-learning. IJCAI 2017: 3455-3461 - 2016
- [j1]Zongzhang Zhang, Qi-ming Fu, Xiaofang Zhang, Quan Liu:
Reasoning and predicting POMDP planning complexity via covering numbers. Frontiers Comput. Sci. 10(4): 726-740 (2016) - [c12]Zongzhang Zhang, Quan Liu:
Covering Number: Analyses for Approximate Continuous-state POMDP Planning (Extended Abstract). AAMAS 2016: 1293-1294 - [c11]Jianwei Zhai, Quan Liu, Zongzhang Zhang, Shan Zhong, Haijun Zhu, Peng Zhang, Cijia Sun:
Deep Q-Learning with Prioritized Sampling. ICONIP (1) 2016: 13-22 - [c10]Weisheng Qian, Quan Liu, Zongzhang Zhang, Zhiyuan Pan, Shan Zhong:
Policy graph pruning and optimization in Monte Carlo Value Iteration for continuous-state POMDPs. SSCI 2016: 1-8 - 2015
- [c9]Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai:
PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. ICAPS 2015: 249-258 - [c8]Yicheng Zhou, Quan Liu, Qi-ming Fu, Zongzhang Zhang:
Trajectory Sampling Value Iteration: Improved Dyna Search for MDPs. AAMAS 2015: 1685-1686 - [c7]Shuhua You, Quan Liu, Zongzhang Zhang, Hui Wang, Xiaofang Zhang:
Intelligent Model Learning Based on Variance for Bayesian Reinforcement Learning. ICTAI 2015: 170-177 - [c6]Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai:
PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. SOCS 2015: 238-239 - 2014
- [c5]Aijun Bai, Feng Wu, Zongzhang Zhang, Xiaoping Chen:
Thompson Sampling Based Monte-Carlo Planning in POMDPs. ICAPS 2014 - [c4]Zongzhang Zhang, David Hsu, Wee Sun Lee:
Covering Number for Efficient Heuristic-based POMDP Planning. ICML 2014: 28-36 - 2012
- [c3]Zongzhang Zhang, Michael L. Littman, Xiaoping Chen:
Covering Number as a Complexity Measure for POMDP Planning and Learning. AAAI 2012: 1853-1859 - [c2]Zongzhang Zhang, Xiaoping Chen:
FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs. UAI 2012: 934-943 - [i1]Zongzhang Zhang, Xiaoping Chen:
FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs. CoRR abs/1210.4912 (2012) - 2010
- [c1]Zongzhang Zhang, Xiaoping Chen:
Accelerating Point-Based POMDP Algorithms via Greedy Strategies. SIMPAR 2010: 545-556
Coauthor Index
[j7] [i30] [i29] [j6] [j5] [c65] [c64] [c63] [c60] [c59] [c57] [c56] [c55] [c54] [c52] [i28] [i26] [i24] [i23] [i22] [i20] [c50] [c49] [c46] [c45] [c44] [c43] [c42] [c40] [c39] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i9] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [i8] [i7] [c31] [c30] [c29] [c28]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-04-14 01:39 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
