| Hybrid rl: Using both offline and online data can make rl efficient Y Song, Y Zhou, A Sekhari, JA Bagnell, A Krishnamurthy, W Sun arXiv preprint arXiv:2210.06718, 2022 | 85 | 2022 |
| Efficient reinforcement learning in block mdps: A model-free representation learning approach X Zhang, Y Song, M Uehara, M Wang, A Agarwal, W Sun International Conference on Machine Learning, 26517-26547, 2022 | 73 | 2022 |
| Transform2act: Learning a transform-and-control policy for efficient agent design Y Yuan, Y Song, Z Luo, W Sun, K Kitani arXiv preprint arXiv:2110.03659, 2021 | 40 | 2021 |
| Provable benefits of representational transfer in reinforcement learning A Agarwal, Y Song, W Sun, K Wang, M Wang, X Zhang The Thirty Sixth Annual Conference on Learning Theory, 2114-2187, 2023 | 31 | 2023 |
| Pc-mlp: Model-based reinforcement learning with policy cover guided exploration Y Song, W Sun International Conference on Machine Learning, 9801-9811, 2021 | 25 | 2021 |
| Representation learning for general-sum low-rank markov games C Ni, Y Song, X Zhang, C Jin, M Wang arXiv preprint arXiv:2210.16976, 2022 | 18* | 2022 |
| The virtues of laziness in model-based rl: A unified objective and algorithms A Vemula, Y Song, A Singh, D Bagnell, S Choudhury International Conference on Machine Learning, 34978-35005, 2023 | 12 | 2023 |
| Provably efficient model-based policy adaptation Y Song, A Mavalankar, W Sun, S Gao arXiv preprint arXiv:2006.08051, 2020 | 11 | 2020 |
| The Importance of Online Data: Understanding Preference Fine-tuning via Coverage Y Song, G Swamy, A Singh, JA Bagnell, W Sun arXiv preprint arXiv:2406.01462, 2024 | 9* | 2024 |
| Offline data enhanced on-policy policy gradient with provable guarantees Y Zhou, A Sekhari, Y Song, W Sun arXiv preprint arXiv:2311.08384, 2023 | 7 | 2023 |
| Rich-Observation Reinforcement Learning with Continuous Latent Dynamics Y Song, L Wu, DJ Foster, A Krishnamurthy arXiv preprint arXiv:2405.19269, 2024 | 1 | 2024 |
| Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models Y Song, H Zhang, C Eisenach, S Kakade, D Foster, U Ghai arXiv preprint arXiv:2412.02674, 2024 | | 2024 |
| Hybrid Reinforcement Learning from Offline Observation Alone Y Song, JA Bagnell, A Singh arXiv preprint arXiv:2406.07253, 2024 | | 2024 |
| Online No-regret Model-Based Meta RL for Personalized Navigation Y Song, Y Yuan, W Sun, K Kitani arXiv preprint arXiv:2204.01925, 2022 | | 2022 |
