Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards

9 March 2023

Papers citing "Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards"

15 / 15 papers shown

Title
Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update Jing Wang Yu-Jie Zhang Peng Zhao Zhi-Hua Zhou 51 0 0 01 Mar 2025
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation Jianliang He Han Zhong Zhuoran Yang 18 6 0 19 Apr 2024
Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation Jiayi Huang Han Zhong Liwei Wang Lin F. Yang 35 2 0 07 Dec 2023
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning Weidong Liu Jiyuan Tu Yichen Zhang Xi Chen OffRL 6 2 0 04 Oct 2023
Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds Jiayi Huang Han Zhong Liwei Wang Lin F. Yang 20 6 0 12 Jun 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards Yulian Wu Xingyu Zhou Sayak Ray Chowdhury Di Wang 15 2 0 01 Jun 2023
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments Runlong Zhou Zihan Zhang S. Du 23 10 0 31 Jan 2023
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes Runlong Zhou Ruosong Wang S. Du 31 3 0 20 Oct 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
No-Regret Reinforcement Learning with Heavy-Tailed Rewards Vincent Zhuang Yanan Sui 61 11 0 25 Feb 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
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 107 166 0 06 Jan 2021
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 104 194 0 07 Feb 2020
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 198 1,325 0 05 Jun 2016