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 | 55 | 2022 |
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 | 50 | 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 | 28 | 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 | 23 | 2023 |
Pc-mlp: Model-based reinforcement learning with policy cover guided exploration Y Song, W Sun International Conference on Machine Learning, 9801-9811, 2021 | 21 | 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 |
Provably efficient model-based policy adaptation Y Song, A Mavalankar, W Sun, S Gao arXiv preprint arXiv:2006.08051, 2020 | 8 | 2020 |
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 | 6 | 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 | 2 | 2023 |
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 |