The seminar meets Friday, 2:00-5:00 pm (UTC+8) online via zoom.

Date	Speaker and Title
Jan 08	Tian Xu (NJU) On the sample complexity for best policy identification in reinforcement learning
Jan 15	Ziniu Li (CUHK-SZ) An Improved Analysis for Model-based Reinforcement Learning with a Generative Model
Jan 22	Xuhui Liu (NJU) Reinforcement Learning via Fenchel-Rockafellar Duality
Jan 29	Yingru Li (CUHK-SZ) Deep Exploration via Randomized Value Functions
Feb 26	Hao Liang (CUHK-SZ) Distributionally-Aware Exploration for CVaR Bandits
Mar 05	Lizhang Miao (CUHK-SZ) High-Dimensional Sparse Linear Bandits
Mar 12	Yingru Li (CUHK-SZ) Eluder Dimension and Potential Lemma
Mar 19	Jing Dong (UMich) Simple Agent, Complex Environment - Efficient Reinforcement Learning with Agent State
Mar 26	Tian Xu (NJU) Toward the fundamental limits of imitation learning
Apr 02	Xuhui Liu (NJU) Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
Apr 09	Ziniu Li (CUHK-SZ) Global convergence of Policy Gradient Methods in Markov Decision Process
Apr 16	Yingru Li (CUHK-SZ) The Randomized Elliptical Potential Lemma with an Application to Linear Thompson Sampling
Apr 23	Hao Liang (CUHK-SZ) Martingales and the method of mixture with an application to stochastic linear bandit