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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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Imitation Learning via Off-Policy Distribution Matching


Dec 10, 2019
Ilya Kostrikov, Ofir Nachum, Jonathan Tompson


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AlgaeDICE: Policy Gradient from Arbitrary Experience


Dec 04, 2019
Ofir Nachum, Bo Dai, Ilya Kostrikov, Yinlam Chow, Lihong Li, Dale Schuurmans


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Improving Sample Efficiency in Model-Free Reinforcement Learning from Images


Oct 07, 2019
Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus


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Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning


Oct 15, 2018
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi, Sergey Levine, Jonathan Tompson


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Surface Networks


Jun 18, 2018
Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo, Denis Zorin, Joan Bruna

* CVPR 2018 

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Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play


Apr 27, 2018
Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus

* Published in ICLR 2018 

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PlaNet - Photo Geolocation with Convolutional Neural Networks


Feb 17, 2016
Tobias Weyand, Ilya Kostrikov, James Philbin


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