Yichi Zhou

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Nash Equilibrium

Imperfect Information

Stochastic Games

Regret Minimization

Top Venues

Pattern Recognit.

Publications

Zhongmin Wang, Yichi Zhou, Xiaomin Jin, Yanping Chen, Chen Lu
An edge server deployment approach for delay reduction and reliability enhancement in the industrial internet. Wirel. Networks 30 (6) (2024)
Xiangxin Zhou, Liang Wang, Yichi Zhou
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process. CoRR (2024)
Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao
Efficiently incorporating quintuple interactions into geometric deep learning force fields. NeurIPS (2023)
Yichi Zhou, Fang Kong, Shuai Li
Stochastic No-regret Learning for General Games with Variance Reduction. ICLR (2023)
Fang Kong, Yichi Zhou, Shuai Li
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback. CoRR (2022)
Fang Kong, Yichi Zhou, Shuai Li
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback. ICML (2022)
Dong Yan, Jiayi Weng, Shiyu Huang, Chongxuan Li, Yichi Zhou, Hang Su, Jun Zhu
Deep reinforcement learning with credit assignment for combinatorial optimization. Pattern Recognit. 124 (2022)
Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen
Online Label Aggregation: A Variational Bayesian Approach. WWW (2021)
Yichi Zhou, Shihong Song, Huishuai Zhang, Jun Zhu, Wei Chen, Tie-Yan Liu
Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit. CoRR (2021)
Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu
Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information. ICLR (2020)
Jialian Li, Yichi Zhou, Tongzheng Ren, Jun Zhu
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games. UAI (2020)
Yichi Zhou, Jialian Li, Jun Zhu
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information. ICLR (2020)
Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu
Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information. CoRR (2018)
Tian Tian, Yichi Zhou, Jun Zhu
Selective Verification Strategy for Learning From Crowds. AAAI (2018)
Chi Hong, Yichi Zhou
Label Aggregation via Finding Consensus Between Models. CoRR (2018)
Yichi Zhou, Jun Zhu, Jingwei Zhuo
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. ICML (2018)
Yichi Zhou, Jialian Li, Jun Zhu
Identify the Nash Equilibrium in Static Games with Random Payoffs. ICML (2017)
Yichi Zhou, Jun Zhu, Jingwei Zhuo
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. CoRR (2017)