Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation

7 December 2023

Papers citing "Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation"

5 / 5 papers shown

Title
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm Miao Lu Han Zhong Tong Zhang Jose H. Blanchet OffRL OOD 66 4 0 04 Apr 2024
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning Zixiang Chen C. J. Li An Yuan Quanquan Gu Michael I. Jordan OffRL 108 26 0 30 Sep 2022
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs Dongruo Zhou Quanquan Gu 73 43 0 23 May 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach Andrew Wagenmaker Yifang Chen Max Simchowitz S. Du Kevin G. Jamieson 71 36 0 07 Dec 2021
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP Zihan Zhang Jiaqi Yang Xiangyang Ji S. Du 54 36 0 29 Jan 2021