Yuda Song
Cited by
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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
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
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
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
Pc-mlp: Model-based reinforcement learning with policy cover guided exploration
Y Song, W Sun
International Conference on Machine Learning, 9801-9811, 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
Provably efficient model-based policy adaptation
Y Song, A Mavalankar, W Sun, S Gao
arXiv preprint arXiv:2006.08051, 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
Offline data enhanced on-policy policy gradient with provable guarantees
Y Zhou, A Sekhari, Y Song, W Sun
arXiv preprint arXiv:2311.08384, 2023
Hybrid Reinforcement Learning from Offline Observation Alone
Y Song, JA Bagnell, A Singh
arXiv preprint arXiv:2406.07253, 2024
Understanding Preference Fine-Tuning Through the Lens of Coverage
Y Song, G Swamy, A Singh, JA Bagnell, W Sun
arXiv preprint arXiv:2406.01462, 2024
Rich-Observation Reinforcement Learning with Continuous Latent Dynamics
Y Song, L Wu, DJ Foster, A Krishnamurthy
arXiv preprint arXiv:2405.19269, 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
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