Visual reinforcement learning with imagined goals AV Nair, V Pong, M Dalal, S Bahl, S Lin, S Levine Advances in neural information processing systems 31, 2018 | 577 | 2018 |
Awac: Accelerating online reinforcement learning with offline datasets A Nair, A Gupta, M Dalal, S Levine arXiv preprint arXiv:2006.09359, 2020 | 510 | 2020 |
Temporal difference models: Model-free deep rl for model-based control V Pong, S Gu, M Dalal, S Levine arXiv preprint arXiv:1802.09081, 2018 | 289 | 2018 |
Composable deep reinforcement learning for robotic manipulation T Haarnoja, V Pong, A Zhou, M Dalal, P Abbeel, S Levine 2018 IEEE international conference on robotics and automation (ICRA), 6244-6251, 2018 | 277 | 2018 |
Skew-fit: State-covering self-supervised reinforcement learning VH Pong, M Dalal, S Lin, A Nair, S Bahl, S Levine arXiv preprint arXiv:1903.03698, 2019 | 276 | 2019 |
Accelerating robotic reinforcement learning via parameterized action primitives M Dalal, D Pathak, RR Salakhutdinov Advances in Neural Information Processing Systems 34, 21847-21859, 2021 | 88 | 2021 |
Seal: Self-supervised embodied active learning using exploration and 3d consistency DS Chaplot, M Dalal, S Gupta, J Malik, RR Salakhutdinov Advances in neural information processing systems 34, 13086-13098, 2021 | 68 | 2021 |
Scalable multi-task imitation learning with autonomous improvement A Singh, E Jang, A Irpan, D Kappler, M Dalal, S Levinev, M Khansari, ... 2020 IEEE International Conference on Robotics and Automation (ICRA), 2167-2173, 2020 | 42 | 2020 |
Imitating Task and Motion Planning with Visuomotor Transformers M Dalal, A Mandlekar, C Garrett, A Handa, RR Salakhutdinov, D Fox Conference on Robot Learning, 2023 | 19 | 2023 |
Autoregressive models: What are they good for? M Dalal, AC Li, R Taori arXiv preprint arXiv:1910.07737, 2019 | 13 | 2019 |
Plan-seq-learn: Language model guided rl for solving long horizon robotics tasks M Dalal, T Chiruvolu, D Chaplot, R Salakhutdinov arXiv preprint arXiv:2405.01534, 2024 | 7 | 2024 |