Kostrikov, Ilya

27 publications

ICLR 2024 Training Diffusion Models with Reinforcement Learning Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine

ICLR 2023 Efficient Deep Reinforcement Learning Requires Regulating Overfitting Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine

ICML 2023 Efficient Online Reinforcement Learning with Offline Data Philip J. Ball, Laura Smith, Ilya Kostrikov, Sergey Levine

CoRL 2023 FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine

ICLR 2023 Offline RL for Natural Language Generation with Implicit Language Q Learning Charlie Victor Snell, Ilya Kostrikov, Yi Su, Sherry Yang, Sergey Levine

ICMLW 2023 Training Diffusion Models with Reinforcement Learning Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine

ICMLW 2023 Training Diffusion Models with Reinforcement Learning Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine

ICMLW 2023 Training Diffusion Models with Reinforcement Learning Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine

NeurIPSW 2022 Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine

NeurIPSW 2022 Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine

NeurIPS 2022 Improving Zero-Shot Generalization in Offline Reinforcement Learning Using Generalized Similarity Functions Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan J Tompson

NeurIPS 2022 In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, Pawan K Mudigonda

NeurIPSW 2022 Offline Reinforcement Learning for Customizable Visual Navigation Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine

NeurIPSW 2022 Offline Reinforcement Learning for Customizable Visual Navigation Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine

CoRL 2022 Offline Reinforcement Learning for Visual Navigation Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine

ICLR 2022 Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov, Ashvin Nair, Sergey Levine

ICLR 2022 RvS: What Is Essential for Offline RL via Supervised Learning? Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine

NeurIPS 2021 Automatic Data Augmentation for Generalization in Reinforcement Learning Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus

ICLR 2021 Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Denis Yarats, Ilya Kostrikov, Rob Fergus

AAAI 2021 Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus

ICML 2021 Offline Reinforcement Learning with Fisher Divergence Critic Regularization Ilya Kostrikov, Rob Fergus, Jonathan Tompson, Ofir Nachum

NeurIPSW 2021 Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov, Ashvin Nair, Sergey Levine

ICLR 2020 Imitation Learning via Off-Policy Distribution Matching Ilya Kostrikov, Ofir Nachum, Jonathan Tompson

ICLR 2019 Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi, Sergey Levine, Jonathan Tompson

ICLR 2018 Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus

ECCV 2016 PlaNet - Photo Geolocation with Convolutional Neural Networks Tobias Weyand, Ilya Kostrikov, James Philbin

CVPR 2014 Probabilistic Labeling Cost for High-Accuracy Multi-View Reconstruction Ilya Kostrikov, Esther Horbert, Bastian Leibe