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A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning


Aug 16, 2022
Laura Smith, Ilya Kostrikov, Sergey Levine

* First two authors contributed equally. Project website: https://sites.google.com/berkeley.edu/walk-in-the-park 

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In Defense of the Unitary Scalarization for Deep Multi-Task Learning


Jan 20, 2022
Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, M. Pawan Kumar


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RvS: What is Essential for Offline RL via Supervised Learning?


Dec 20, 2021
Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine


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Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions


Nov 29, 2021
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson

* Offline RL workshop at NeurIPS 2021 

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Offline Reinforcement Learning with Implicit Q-Learning


Oct 12, 2021
Ilya Kostrikov, Ashvin Nair, Sergey Levine


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Offline Reinforcement Learning with Fisher Divergence Critic Regularization


Mar 14, 2021
Ilya Kostrikov, Jonathan Tompson, Rob Fergus, Ofir Nachum


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Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation


Jul 27, 2020
Ilya Kostrikov, Ofir Nachum


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Automatic Data Augmentation for Generalization in Deep Reinforcement Learning


Jun 23, 2020
Roberta Raileanu, Max Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus


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Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels


Apr 28, 2020
Ilya Kostrikov, Denis Yarats, Rob Fergus


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