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 | 173* | 2023 |
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 | 119 | 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 | 39 | 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 | 28 | 2023 |
Apollo: An exploration of video understanding in large multimodal models O Zohar, X Wang, Y Dubois, N Mehta, T Xiao, P Hansen-Estruch, L Yu, ... arXiv preprint arXiv:2412.10360, 2024 | 6 | 2024 |
D5rl: Diverse datasets for data-driven deep reinforcement learning R Rafailov, K Hatch, A Singh, L Smith, A Kumar, I Kostrikov, ... arXiv preprint arXiv:2408.08441, 2024 | 4 | 2024 |
Video Occupancy Models M Tomar, P Hansen-Estruch, P Bachman, A Lamb, J Langford, ME Taylor, ... arXiv preprint arXiv:2407.09533, 2024 | 3* | 2024 |
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 |
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation P Hansen-Estruch, D Yan, CY Chung, O Zohar, J Wang, T Hou, T Xu, ... arXiv preprint arXiv:2501.09755, 2025 | | 2025 |
Unified Auto-Encoding with Masked Diffusion P Hansen-Estruch, S Vishwanath, A Zhang, M Tomar arXiv preprint arXiv:2406.17688, 2024 | | 2024 |
Biodegradable flexible lightweight energy storage composite and methods of making the same P Hansen-Estruch US Patent 10,614,928, 2020 | | 2020 |