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2020 – today
- 2024
[j2]Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter Abbeel:
Semi-Supervised One Shot Imitation Learning. RLJ 5: 2284-2297 (2024)- [i7]Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter Abbeel:
Semi-Supervised One-Shot Imitation Learning. CoRR abs/2408.05285 (2024) - 2023
- [j1]Kourosh Hakhamaneshi
, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic:
Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(7): 2163-2173 (2023) - 2022
- [b1]Kourosh Hakhamaneshi:
Pre-training Agents for Design Optimization and Control. University of California, Berkeley, USA, 2022 - [c6]Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin:
Hierarchical Few-Shot Imitation with Skill Transition Models. ICLR 2022 - [c5]Christy D. Bergman, Kourosh Hakhamaneshi:
Hands-on Reinforcement Learning for Recommender Systems - From Bandits to SlateQ to Offline RL with Ray RLlib. RecSys 2022: 700-701 - [i6]Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic:
Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design. CoRR abs/2203.15913 (2022) - 2021
- [c4]Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin:
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. CoRL 2021: 1259-1268 - [i5]Kourosh Hakhamaneshi, Pieter Abbeel, Vladimir Stojanovic, Aditya Grover:
JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data. CoRR abs/2106.00942 (2021) - [i4]Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin:
Hierarchical Few-Shot Imitation with Skill Transition Models. CoRR abs/2107.08981 (2021) - [i3]Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin:
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. CoRR abs/2108.05382 (2021) - 2020
- [c3]Keertana Settaluri, Ameer Haj-Ali, Qijing Huang, Kourosh Hakhamaneshi, Borivoje Nikolic:
AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs. DATE 2020: 490-495 - [i2]Kourosh Hakhamaneshi, Keertana Settaluri, Pieter Abbeel, Vladimir Stojanovic:
GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction. CoRR abs/2002.07236 (2020)
2010 – 2019
- 2019
- [c2]Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic:
Analog Circuit Generator based on Deep Neural Network enhanced Combinatorial Optimization. DAC 2019: 228 - [c1]Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic:
BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks. ICCAD 2019: 1-8 - [i1]Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic:
BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks. CoRR abs/1907.10515 (2019)
Coauthor Index
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