| Gpt-4o system card A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ... arXiv preprint arXiv:2410.21276, 2024 | 3685 | 2024 |
| Openai o1 system card A Jaech, A Kalai, A Lerer, A Richardson, A El-Kishky, A Low, A Helyar, ... arXiv preprint arXiv:2412.16720, 2024 | 1518 | 2024 |
| Offline reinforcement learning with implicit q-learning I Kostrikov, A Nair, S Levine arXiv preprint arXiv:2110.06169, 2021 | 1433 | 2021 |
| Image augmentation is all you need: Regularizing deep reinforcement learning from pixels I Kostrikov*, D Yarats*, R Fergus arXiv preprint arXiv:2004.13649, 2020 | 1094* | 2020 |
| Training diffusion models with reinforcement learning K Black, M Janner, Y Du, I Kostrikov, S Levine arXiv preprint arXiv:2305.13301, 2023 | 674 | 2023 |
| Planet-photo geolocation with convolutional neural networks T Weyand, I Kostrikov, J Philbin European conference on computer vision, 37-55, 2016 | 623 | 2016 |
| Improving sample efficiency in model-free reinforcement learning from images D Yarats, A Zhang, I Kostrikov, B Amos, J Pineau, R Fergus Proceedings of the aaai conference on artificial intelligence 35 (12), 10674 …, 2021 | 594 | 2021 |
| Intrinsic motivation and automatic curricula via asymmetric self-play S Sukhbaatar, Z Lin, I Kostrikov, G Synnaeve, A Szlam, R Fergus arXiv preprint arXiv:1703.05407, 2017 | 486 | 2017 |
| Discriminator-actor-critic: Addressing sample inefficiency and reward bias in adversarial imitation learning I Kostrikov, KK Agrawal, D Dwibedi, S Levine, J Tompson arXiv preprint arXiv:1809.02925, 2018 | 408 | 2018 |
| Offline Reinforcement Learning with Fisher Divergence Critic Regularization I Kostrikov, J Tompson, R Fergus, O Nachum arXiv preprint arXiv:2103.08050, 2021 | 407 | 2021 |
| Efficient Online Reinforcement Learning with Offline Data PJ Ball*, L Smith*, I Kostrikov*, S Levine arXiv preprint arXiv:2302.02948, 2023 | 319 | 2023 |
| Automatic data augmentation for generalization in deep reinforcement learning R Raileanu, M Goldstein, D Yarats, I Kostrikov, R Fergus arXiv preprint arXiv:2006.12862, 2020 | 303* | 2020 |
| Algaedice: Policy gradient from arbitrary experience O Nachum, B Dai, I Kostrikov, Y Chow, L Li, D Schuurmans arXiv preprint arXiv:1912.02074, 2019 | 300 | 2019 |
| Imitation learning via off-policy distribution matching I Kostrikov, O Nachum, J Tompson arXiv preprint arXiv:1912.05032, 2019 | 279 | 2019 |
| Rvs: What is essential for offline rl via supervised learning? S Emmons, B Eysenbach, I Kostrikov, S Levine arXiv preprint arXiv:2112.10751, 2021 | 276 | 2021 |
| Pytorch implementations of reinforcement learning algorithms I Kostrikov GitHub repository: https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail, 2018 | 258 | 2018 |
| Idql: Implicit q-learning as an actor-critic method with diffusion policies P Hansen-Estruch, I Kostrikov, M Janner, JG Kuba, S Levine arXiv preprint arXiv:2304.10573, 2023 | 233 | 2023 |
| An efficient convolutional network for human pose estimation. U Rafi, B Leibe, J Gall, I Kostrikov BMVC 1, 2, 2016 | 188 | 2016 |
| A walk in the park: Learning to walk in 20 minutes with model-free reinforcement learning L Smith*, I Kostrikov*, S Levine arXiv preprint arXiv:2208.07860, 2022 | 187* | 2022 |
| Offline rl for natural language generation with implicit language q learning C Snell, I Kostrikov, Y Su, M Yang, S Levine arXiv preprint arXiv:2206.11871, 2022 | 165 | 2022 |
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
