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Quantile Filtered Imitation Learning


Dec 02, 2021
David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna

* Offline Reinforcement Learning Workshop at Neural Information Processing Systems, 2021 

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Offline RL Without Off-Policy Evaluation


Jun 16, 2021
David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna


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Rethinking Exploration for Sample-Efficient Policy Learning


Jan 23, 2021
William F. Whitney, Michael Bloesch, Jost Tobias Springenberg, Abbas Abdolmaleki, Martin Riedmiller


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Evaluating representations by the complexity of learning low-loss predictors


Sep 15, 2020
William F. Whitney, Min Jae Song, David Brandfonbrener, Jaan Altosaar, Kyunghyun Cho


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Overfitting and Optimization in Offline Policy Learning


Jun 27, 2020
David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna


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Disentangling Video with Independent Prediction


Jan 17, 2019
William F. Whitney, Rob Fergus

* Presented at the Learning Disentangled Representations: from Perception to Control workshop at NIPS 2017 

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Model-Based Planning with Discrete and Continuous Actions


Apr 04, 2018
Mikael Henaff, William F. Whitney, Yann LeCun


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Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning


May 08, 2017
Vlad Firoiu, William F. Whitney, Joshua B. Tenenbaum


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Understanding Visual Concepts with Continuation Learning


Feb 22, 2016
William F. Whitney, Michael Chang, Tejas Kulkarni, Joshua B. Tenenbaum

* Under review as a workshop paper for ICLR 2016 

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