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

Date	Speaker and Title
Sep 24	Tian Xu (NJU) On the linear convergence rate of policy gradient methods
Oct 08	Ziniu Li (CUHK-SZ) On sample complexity of value iteration with a generative oracle
Oct 15	Xuhui Liu (NJU) On the pessimism in offline reinforcement learning
Oct 22	Yingru Li (CUHK-SZ) Offline Reinforcement Learning
Oct 29	Hao Liang (CUHK-SZ) Risk-Sensitive Reinforcement Learning - Near-Optimal Risk-Sample Tradeoff in Regret
Nov 05	Lizhang Miao (CUHK-SZ) Learning Near Optimal Policies with Low Inherent Bellman Error
Nov 12	Alekh Agarwal, Akshay Krishnamurthy, and John Langford (FOCS2020 Tutorial) Theoretical Foundations of Reinforcement Learning
Nov 19	Tian Xu (NJU) Reward-free Exploration for Reinforcement Learning
Nov 26	Ziniu Li (CUHK-SZ) Zero-order Convex Optimization - An Introduction
Dec 03	Xuhui Liu (NJU) Eluder Dimension and Sample Complexity of Optimistic Exploration
Dec 10	Yingru Li (CUHK-SZ) Statistical limits of offline reinforcement learning
Dec 17	Hao Liang (CUHK-SZ) Learning to Optimize via Information-Directed Sampling
Dec 31	Lizhang Miao (CUHK-SZ) Learning with good feature representations in bandits and in rl with a generative model