Uniform-PAC Bounds for Reinforcement Learning with Linear Function
Approximation

Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation

22 June 2021

Quanquan Gu

Papers citing "Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation"

9 / 9 papers shown

Title
On shallow planning under partial observability Randy Lefebvre Audrey Durand OffRL 44 1 0 22 Jul 2024
Variance-Dependent Regret Bounds for Non-stationary Linear Bandits Zhiyong Wang Jize Xie Yi Chen J. C. Lui Dongruo Zhou 28 0 0 15 Mar 2024
A Doubly Robust Approach to Sparse Reinforcement Learning Wonyoung Hedge Kim Garud Iyengar A. Zeevi 25 3 0 23 Oct 2023
Learning the Pareto Front Using Bootstrapped Observation Samples Wonyoung Hedge Kim G. Iyengar A. Zeevi 30 3 0 31 May 2023
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension Yue Wu Jiafan He Quanquan Gu 24 2 0 15 May 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits Weitong Zhang Jiafan He Zhiyuan Fan Q. Gu 108 5 0 16 Mar 2023
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency Heyang Zhao Jiafan He Dongruo Zhou Tong Zhang Quanquan Gu 42 27 0 21 Feb 2023
Target Network and Truncation Overcome The Deadly Triad in $Q$ -Learning Zaiwei Chen John-Paul Clarke S. T. Maguluri 28 19 0 05 Mar 2022
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning Tong Sang Hongyao Tang Jianye Hao Yan Zheng Zhaopeng Meng 19 2 0 19 Nov 2021