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Reinforcement Learning as One Big Sequence Modeling Problem


Jun 03, 2021
Michael Janner, Qiyang Li, Sergey Levine


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$γ$-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction


Oct 27, 2020
Michael Janner, Igor Mordatch, Sergey Levine

* NeurIPS 2020. Project page at: https://people.eecs.berkeley.edu/~janner/gamma-models/ 

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Entity Abstraction in Visual Model-Based Reinforcement Learning


Dec 04, 2019
Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine

* Accepted at CoRL 2019 

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When to Trust Your Model: Model-Based Policy Optimization


Jun 19, 2019
Michael Janner, Justin Fu, Marvin Zhang, Sergey Levine

* Project page: https://people.eecs.berkeley.edu/~janner/mbpo/ 

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Reasoning About Physical Interactions with Object-Oriented Prediction and Planning


Jan 07, 2019
Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu

* ICLR 2019, project page: https://people.eecs.berkeley.edu/~janner/o2p2/ 

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Self-Supervised Intrinsic Image Decomposition


Feb 05, 2018
Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Joshua B. Tenenbaum

* NIPS 2017 camera-ready version, project page: http://rin.csail.mit.edu/ 

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Representation Learning for Grounded Spatial Reasoning


Nov 11, 2017
Michael Janner, Karthik Narasimhan, Regina Barzilay

* Accepted to TACL 2017, code: https://github.com/jannerm/spatial-reasoning 

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