Michael Janner
Michael Janner
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Cited by
Cited by
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
Offline Reinforcement Learning as One Big Sequence Modeling Problem
M Janner, Q Li, S Levine
Advances in Neural Information Processing Systems 35, 2021
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
Reasoning about physical interactions with object-oriented prediction and planning
M Janner, S Levine, WT Freeman, JB Tenenbaum, C Finn, J Wu
arXiv preprint arXiv:1812.10972, 2018
Self-supervised intrinsic image decomposition
M Janner, J Wu, TD Kulkarni, I Yildirim, J Tenenbaum
Advances in Neural Information Processing Systems 31, 2017
Representation learning for grounded spatial reasoning
M Janner, K Narasimhan, R Barzilay
Transactions of the Association for Computational Linguistics 6, 49-61, 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 (4), 1770-1775, 2013
Planning with diffusion for flexible behavior synthesis
M Janner, Y Du, JB Tenenbaum, S Levine
arXiv preprint arXiv:2205.09991, 2022
Magnetochromatic Thin‐Film Microplates
L He, M Janner, Q Lu, M Wang, H Ma, Y Yin
Advanced Materials 27 (1), 86-92, 2015
Generative Temporal Difference Learning for Infinite-Horizon Prediction
M Janner, I Mordatch, S Levine
Advances in Neural Information Processing Systems 34, 2020
Causal and compositional generative models in online perception.
I Yildirim, M Janner, M Belledonne, C Wallraven, W Freiwald, ...
CogSci, 2017
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, 10708-10733, 2022
Efficient planning in a compact latent action space
Z Jiang, T Zhang, M Janner, Y Li, T Rocktäschel, E Grefenstette, Y Tian
arXiv preprint arXiv:2208.10291, 2022
Training Diffusion Models with Reinforcement Learning
K Black, M Janner, Y Du, I Kostrikov, S Levine
arXiv preprint arXiv:2305.13301, 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
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