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Michael Janner
Michael Janner
Zweryfikowany adres z berkeley.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
4302019
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
126*2018
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
1242020
Offline Reinforcement Learning as One Big Sequence Modeling Problem
M Janner, Q Li, S Levine
Advances in Neural Information Processing Systems 35, 2021
118*2021
Self-supervised intrinsic image decomposition
M Janner, J Wu, TD Kulkarni, I Yildirim, J Tenenbaum
Advances in Neural Information Processing Systems 31, 2017
932017
Representation learning for grounded spatial reasoning
M Janner, K Narasimhan, R Barzilay
Transactions of the Association for Computational Linguistics 6, 49-61, 2018
552018
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
542013
Magnetochromatic Thin‐Film Microplates
L He, M Janner, Q Lu, M Wang, H Ma, Y Yin
Advanced Materials 27 (1), 86-92, 2015
282015
Generative Temporal Difference Learning for Infinite-Horizon Prediction
M Janner, I Mordatch, S Levine
Advances in Neural Information Processing Systems 34, 2020
13*2020
Causal and compositional generative models in online perception.
I Yildirim, M Janner, M Belledonne, C Wallraven, W Freiwald, ...
CogSci, 2017
92017
Planning with Diffusion for Flexible Behavior Synthesis
M Janner, Y Du, JB Tenenbaum, S Levine
arXiv preprint arXiv:2205.09991, 2022
22022
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
2022
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
2022
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