Recent Publications

  1. Actions Speak What You Want: Provably Sample-Efficient Reinforcement Learning of the Quantal Stackelberg Equilibrium from Strategic Feedbacks
    Siyu Chen, Mengdi Wang, and Zhuoran Yang
    arXiv preprint arXiv:2307.14085, 2023
  2. A two-timescale stochastic algorithm framework for bilevel optimization: Complexity analysis and application to actor-critic
    Mingyi Hong, Hoi-To Wai, Zhaoran Wang, and Zhuoran Yang
    SIAM Journal on Optimization, 2023
  3. Is pessimism provably efficient for offline rl?
    Ying Jin, Zhuoran Yang, and Zhaoran Wang
    In International Conference on Machine Learning, 2021
  4. A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations
    Siyu Chen, Yitan Wang, Zhaoran Wang, and Zhuoran Yang
    arXiv preprint arXiv:2303.11187, 2023
  5. Can We Find Nash Equilibria at a Linear Rate in Markov Games?
    Zhuoqing Song, Jason D Lee, and Zhuoran Yang
    In The Eleventh International Conference on Learning Representations, 2022
  6. GEC: A posterior sampling framework for interactive decision making
    Han Zhong, Wei Xiong, Sirui Zheng, Liwei Wang, Zhaoran Wang, Zhuoran Yang, and Tong Zhang
    arXiv preprint arXiv:2211.01962, 2022
  7. Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
    Miao Lu, Yifei Min, Zhaoran Wang, and Zhuoran Yang
    In The Eleventh International Conference on Learning Representations, 2022
  8. On function approximation in reinforcement learning: Optimism in the face of large state spaces
    Zhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, and Michael I Jordan
    Advances in Neural Information Processing Systems, 2020
  9. Provably Efficient Reinforcement Learning with Linear Function Approximation
    Chi Jin, Zhuoran Yang, Zhaoran Wang, and Michael I Jordan
    Mathematics of Operations Research, 2023
  10. Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium
    Qiaomin Xie, Yudong Chen, Zhaoran Wang, and Zhuoran Yang
    Mathematics of Operations Research, 2023
  11. Strategic decision-making in the presence of information asymmetry: Provably efficient rl with algorithmic instruments
    Mengxin Yu, Zhuoran Yang, and Jianqing Fan
    arXiv preprint arXiv:2208.11040, 2022
  12. Sequential information design: Markov persuasion process and its efficient reinforcement learning
    Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I Jordan, and Haifeng Xu
    arXiv preprint arXiv:2202.10678, 2022
  13. Multi-agent reinforcement learning: A selective overview of theories and algorithms
    Kaiqing Zhang, Zhuoran Yang, and Tamer Başar
    Handbook of reinforcement learning and control, 2021