| 2024 | ICLR | Training Diffusion Models with Reinforcement Learning. | Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine |
| 2023 | CoRL | FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. | Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine |
| 2023 | ICLR | Efficient Deep Reinforcement Learning Requires Regulating Overfitting. | Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine |
| 2023 | ICLR | Offline RL for Natural Language Generation with Implicit Language Q Learning. | Charlie Snell, Ilya Kostrikov, Yi Su, Sherry Yang, Sergey Levine |
| 2023 | ICML | Efficient Online Reinforcement Learning with Offline Data. | Philip J. Ball, Laura Smith, Ilya Kostrikov, Sergey Levine |
| 2022 | CoRL | Offline Reinforcement Learning for Visual Navigation. | Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine |
| 2022 | ICLR | RvS: What is Essential for Offline RL via Supervised Learning? | Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine |
| 2022 | ICLR | Offline Reinforcement Learning with Implicit Q-Learning. | Ilya Kostrikov, Ashvin Nair, Sergey Levine |
| 2021 | AAAI | Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. | Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus |
| 2021 | ICLR | Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. | Denis Yarats, Ilya Kostrikov, Rob Fergus |
| 2021 | ICML | Offline Reinforcement Learning with Fisher Divergence Critic Regularization. | Ilya Kostrikov, Rob Fergus, Jonathan Tompson, Ofir Nachum |
| 2020 | ICLR | Imitation Learning via Off-Policy Distribution Matching. | Ilya Kostrikov, Ofir Nachum, Jonathan Tompson |
| 2019 | ICLR | Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning. | Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi, Sergey Levine, Jonathan Tompson |
| 2018 | CVPR | Surface Networks. | Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo, Denis Zorin, Joan Bruna |
| 2018 | ICLR | Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. | Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus |
| 2016 | BMVC | An Efficient Convolutional Network for Human Pose Estimation. | Umer Rafi, Bastian Leibe, Juergen Gall, Ilya Kostrikov |
| 2016 | ECCV | PlaNet - Photo Geolocation with Convolutional Neural Networks. | Tobias Weyand, Ilya Kostrikov, James Philbin |
| 2014 | BMVC | Depth Sweep Regression Forests for Estimating 3D Human Pose from Images. | Ilya Kostrikov, Jrgen Gall |
| 2014 | CVPR | Probabilistic Labeling Cost for High-Accuracy Multi-view Reconstruction. | Ilya Kostrikov, Esther Horbert, Bastian Leibe |