| Hybrid rl: Using both offline and online data can make rl efficient Y Song, Y Zhou, A Sekhari, JA Bagnell, A Krishnamurthy, W Sun ICLR 2023, 2022 | 93 | 2022 |
| Autonomous evaluation and refinement of digital agents J Pan, Y Zhang, N Tomlin, Y Zhou, S Levine, A Suhr arXiv preprint arXiv:2404.06474, 2024 | 41 | 2024 |
| Fine-tuning large vision-language models as decision-making agents via reinforcement learning S Zhai, H Bai, Z Lin, J Pan, P Tong, Y Zhou, A Suhr, S Xie, Y LeCun, Y Ma, ... Advances in Neural Information Processing Systems 37, 110935-110971, 2025 | 38 | 2025 |
| Archer: Training language model agents via hierarchical multi-turn rl Y Zhou, A Zanette, J Pan, S Levine, A Kumar arXiv preprint arXiv:2402.19446, 2024 | 28 | 2024 |
| Digirl: Training in-the-wild device-control agents with autonomous reinforcement learning H Bai, Y Zhou, M Cemri, J Pan, A Suhr, S Levine, A Kumar arXiv preprint arXiv:2406.11896, 2024 | 27 | 2024 |
| Test-time distribution normalization for contrastively learned visual-language models Y Zhou, J Ren, F Li, R Zabih, SN Lim Advances in Neural Information Processing Systems 36, 47105-47123, 2023 | 19 | 2023 |
| Offline data enhanced on-policy policy gradient with provable guarantees Y Zhou, A Sekhari, Y Song, W Sun arXiv preprint arXiv:2311.08384, 2023 | 9 | 2023 |
| Improve discourse dependency parsing with contextualized representations Y Zhou, Y Feng ACL 2022 findings, 2022 | 6 | 2022 |
| : Backward-compatible Training with Basis Transformation Y Zhou, Z Li, A Shrivastava, H Zhao, A Torralba, T Tian, SN Lim ICCV 2023, 2022 | 5 | 2022 |
| Kalie: Fine-tuning vision-language models for open-world manipulation without robot data G Tang, S Rajkumar, Y Zhou, HR Walke, S Levine, K Fang arXiv preprint arXiv:2409.14066, 2024 | 4 | 2024 |
| Aligning Large Language Models with Representation Editing: A Control Perspective L Kong, H Wang, W Mu, Y Du, Y Zhuang, Y Zhou, Y Song, R Zhang, ... Advances in Neural Information Processing Systems 37, 37356-37384, 2025 | 3 | 2025 |
| Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents Y Zhou, Q Yang, K Lin, M Bai, X Zhou, YX Wang, S Levine, E Li arXiv preprint arXiv:2412.13194, 2024 | | 2024 |
| Yifei Zhou Y Zhou University of California, Berkeley 2028, 2023 | | 2023 |
| GAPX: generalized autoregressive paraphrase-identification X Y Zhou, R Li, H Housen, SN Lim Advances in Neural Information Processing Systems 35, 2211-2225, 2022 | | 2022 |
Sergey LevineUC Berkeley, Physical IntelligencePotvrđena adresa e-pošte na eecs.berkeley.edu
