| IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies P Hansen-Estruch, I Kostrikov, M Janner, JG Kuba, S Levine arXiv preprint arXiv:2304.10573, 2023 | 46 | 2023 |
| BridgeData V2: A Dataset for Robot Learning at Scale H Walke, K Black, A Lee, MJ Kim, M Du, C Zheng, T Zhao, ... arXiv preprint arXiv:2308.12952, CoRL 2023, 2023 | 38* | 2023 |
| Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning P Hansen-Estruch, A Zhang, A Nair, P Yin, S Levine arXiv preprint arXiv:2204.13060, ICML 2022, 2022 | 25 | 2022 |
| Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control V Myers, A He, K Fang, H Walke, P Hansen-Estruch, CA Cheng, ... arXiv preprint arXiv:2307.00117, CoRL 2023, 2023 | 12 | 2023 |
| GEM: Group Enhanced Model for Learning Dynamical Control Systems P Hansen-Estruch, W Shang, L Pinto, P Abbeel, S Tiomkin arXiv preprint arXiv:2104.02844, 2021 | 1 | 2021 |
| D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning R Rafailov, KB Hatch, A Singh, A Kumar, L Smith, I Kostrikov, ... | | 2023 |
| Biodegradable flexible lightweight energy storage composite and methods of making the same P Hansen-Estruch US Patent 10,614,928, 2020 | | 2020 |
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
