Zhou, Yichi

10 publications

ICML 2024 Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process Xiangxin Zhou, Liang Wang, Yichi Zhou

NeurIPS 2023 Efficiently Incorporating Quintuple Interactions into Geometric Deep Learning Force Fields Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao

ICLR 2023 Stochastic No-Regret Learning for General Games with Variance Reduction Yichi Zhou, Fang Kong, Shuai Li

ICML 2022 Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback Fang Kong, Yichi Zhou, Shuai Li

UAI 2020 Exploration Analysis in Finite-Horizon Turn-Based Stochastic Games Jialian Li, Yichi Zhou, Tongzheng Ren, Jun Zhu

ICLR 2020 Lazy-CFR: Fast and Near-Optimal Regret Minimization for Extensive Games with Imperfect Information Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu

ICLR 2020 Posterior Sampling for Multi-Agent Reinforcement Learning: Solving Extensive Games with Imperfect Information Yichi Zhou, Jialian Li, Jun Zhu

ICML 2018 Racing Thompson: An Efficient Algorithm for Thompson Sampling with Non-Conjugate Priors Yichi Zhou, Jun Zhu, Jingwei Zhuo

AAAI 2018 Selective Verification Strategy for Learning from Crowds Tian Tian, Yichi Zhou, Jun Zhu

ICML 2017 Identify the Nash Equilibrium in Static Games with Random Payoffs Yichi Zhou, Jialian Li, Jun Zhu