| When to trust your model: Model-based policy optimization M Janner, J Fu, M Zhang, S Levine Advances in Neural Information Processing Systems 33, 2019 | 1113 | 2019 |
| Offline Reinforcement Learning as One Big Sequence Modeling Problem M Janner, Q Li, S Levine Advances in Neural Information Processing Systems 35, 2021 | 842 | 2021 |
| Planning with diffusion for flexible behavior synthesis M Janner, Y Du, JB Tenenbaum, S Levine International Conference on Machine Learning 39, 2022 | 620 | 2022 |
| Training diffusion models with reinforcement learning K Black, M Janner, Y Du, I Kostrikov, S Levine arXiv:2305.13301, 2023 | 238 | 2023 |
| Entity abstraction in visual model-based reinforcement learning R Veerapaneni, JD Co-Reyes, M Chang, M Janner, C Finn, J Wu, ... Conference on Robot Learning 3, 2020 | 226 | 2020 |
| Reasoning about physical interactions with object-oriented prediction and planning M Janner, S Levine, WT Freeman, JB Tenenbaum, C Finn, J Wu International Conference on Learning Representations 7, 2018 | 179* | 2018 |
| Self-supervised intrinsic image decomposition M Janner, J Wu, TD Kulkarni, I Yildirim, J Tenenbaum Advances in Neural Information Processing Systems 31, 2017 | 139 | 2017 |
| IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies P Hansen-Estruch, I Kostrikov, M Janner, JG Kuba, S Levine arXiv:2304.10573, 2023 | 118 | 2023 |
| Representation learning for grounded spatial reasoning M Janner, K Narasimhan, R Barzilay Transactions of the Association for Computational Linguistics 6, 2018 | 85 | 2018 |
| Photonic labyrinths: Two-dimensional dynamic magnetic assembly and in situ solidification Q Zhang, M Janner, L He, M Wang, Y Hu, Y Lu, Y Yin Nano Letters 13, 2013 | 63 | 2013 |
| Generative Temporal Difference Learning for Infinite-Horizon Prediction M Janner, I Mordatch, S Levine Advances in Neural Information Processing Systems 34, 2020 | 57* | 2020 |
| Efficient planning in a compact latent action space Z Jiang, T Zhang, M Janner, Y Li, T Rocktäschel, E Grefenstette, Y Tian International Conference on Learning Representations 11, 2022 | 43 | 2022 |
| Magnetochromatic Thin‐Film Microplates L He, M Janner, Q Lu, M Wang, H Ma, Y Yin Advanced Materials 27, 2015 | 34 | 2015 |
| Lyapunov density models: Constraining distribution shift in learning-based control K Kang, P Gradu, JJ Choi, M Janner, C Tomlin, S Levine International Conference on Machine Learning 39, 2022 | 24 | 2022 |
| Causal and compositional generative models in online perception. I Yildirim, M Janner, M Belledonne, C Wallraven, W Freiwald, ... Annual Meeting of the Cognitive Science Society 39, 2017 | 11 | 2017 |
| H-GAP: Humanoid Control with a Generalist Planner Z Jiang, Y Xu, N Wagener, Y Luo, M Janner, E Grefenstette, ... arXiv:2312.02682, 2023 | 5 | 2023 |
| Deep Generative Models for Decision-Making and Control M Janner PhD thesis; arXiv:2306.08810, 2023 | 3 | 2023 |
Sergey LevineUC Berkeley, Physical IntelligenceAdresse e-mail validée de eecs.berkeley.edu