Ilya Kostrikov

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 44

Top Topics

Convolutional Network

Reinforcement Learning

Diffusion Models

Top Venues

Publications

Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
Training Diffusion Models with Reinforcement Learning. ICLR (2024)
Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine
Efficient Deep Reinforcement Learning Requires Regulating Overfitting. CoRR (2023)
Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine
Efficient Online Reinforcement Learning with Offline Data. CoRR (2023)
Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
Training Diffusion Models with Reinforcement Learning. CoRR (2023)
Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner, Jakub Grudzien Kuba, Sergey Levine
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies. CoRR (2023)
Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. CoRR (2023)
Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine
Efficient Deep Reinforcement Learning Requires Regulating Overfitting. ICLR (2023)
Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. CoRL (2023)
Ilya Kostrikov, Laura M. Smith, Sergey Levine
Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. Robotics: Science and Systems (2023)
Charlie Snell, Ilya Kostrikov, Yi Su, Sherry Yang, Sergey Levine
Offline RL for Natural Language Generation with Implicit Language Q Learning. ICLR (2023)
Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine
Efficient Online Reinforcement Learning with Offline Data. ICML (2023)
Charlie Snell, Ilya Kostrikov, Yi Su, Mengjiao Yang, Sergey Levine
Offline RL for Natural Language Generation with Implicit Language Q Learning. CoRR (2022)
Dhruv Shah, Arjun Bhorkar, Hrish Leen, Ilya Kostrikov, Nick Rhinehart, Sergey Levine
Offline Reinforcement Learning for Visual Navigation. CoRR (2022)
Laura M. Smith, Ilya Kostrikov, Sergey Levine
A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. CoRR (2022)
Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, M. Pawan Kumar
In Defense of the Unitary Scalarization for Deep Multi-Task Learning. CoRR (2022)
Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine
RvS: What is Essential for Offline RL via Supervised Learning? ICLR (2022)
Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, Pawan Kumar Mudigonda
In Defense of the Unitary Scalarization for Deep Multi-Task Learning. NeurIPS (2022)
Ilya Kostrikov, Ashvin Nair, Sergey Levine
Offline Reinforcement Learning with Implicit Q-Learning. ICLR (2022)
Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine
Offline Reinforcement Learning for Visual Navigation. CoRL (2022)
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. NeurIPS (2022)
Roberta Raileanu, Max Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus
Automatic Data Augmentation for Generalization in Reinforcement Learning. NeurIPS (2021)
Ilya Kostrikov, Rob Fergus, Jonathan Tompson, Ofir Nachum
Offline Reinforcement Learning with Fisher Divergence Critic Regularization. ICML (2021)
Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine
RvS: What is Essential for Offline RL via Supervised Learning? CoRR (2021)
Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. AAAI (2021)
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. CoRR (2021)
Ilya Kostrikov, Jonathan Tompson, Rob Fergus, Ofir Nachum
Offline Reinforcement Learning with Fisher Divergence Critic Regularization. CoRR (2021)
Ilya Kostrikov, Ashvin Nair, Sergey Levine
Offline Reinforcement Learning with Implicit Q-Learning. CoRR (2021)
Denis Yarats, Ilya Kostrikov, Rob Fergus
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. ICLR (2021)
Ilya Kostrikov, Ofir Nachum
Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation. CoRR (2020)
Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
Imitation Learning via Off-Policy Distribution Matching. ICLR (2020)
Roberta Raileanu, Max Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning. CoRR (2020)
Ilya Kostrikov, Denis Yarats, Rob Fergus
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. CoRR (2020)
Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
Imitation Learning via Off-Policy Distribution Matching. CoRR (2019)
Ofir Nachum, Bo Dai, Ilya Kostrikov, Yinlam Chow, Lihong Li, Dale Schuurmans
AlgaeDICE: Policy Gradient from Arbitrary Experience. CoRR (2019)
Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. CoRR (2019)
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi, Sergey Levine, Jonathan Tompson
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning. ICLR (Poster) (2019)
Ilya Kostrikov, Kumar Krishna Agrawal, Sergey Levine, Jonathan Tompson
Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning. CoRR (2018)
Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. ICLR (Poster) (2018)
Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo, Denis Zorin, Joan Bruna
Surface Networks. CVPR (2018)
Sainbayar Sukhbaatar, Ilya Kostrikov, Arthur Szlam, Rob Fergus
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. CoRR (2017)
Ilya Kostrikov, Joan Bruna, Daniele Panozzo, Denis Zorin
Surface Networks. CoRR (2017)
Umer Rafi, Bastian Leibe, Juergen Gall, Ilya Kostrikov
An Efficient Convolutional Network for Human Pose Estimation. BMVC (2016)
Tobias Weyand, Ilya Kostrikov, James Philbin
PlaNet - Photo Geolocation with Convolutional Neural Networks. CoRR (2016)
Tobias Weyand, Ilya Kostrikov, James Philbin
PlaNet - Photo Geolocation with Convolutional Neural Networks. ECCV (8) (2016)
Ilya Kostrikov, Jürgen Gall
Depth Sweep Regression Forests for Estimating 3D Human Pose from Images. BMVC (2014)
Ilya Kostrikov, Esther Horbert, Bastian Leibe
Probabilistic Labeling Cost for High-Accuracy Multi-view Reconstruction. CVPR (2014)