First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach

7 December 2021

Max Simchowitz

Papers citing "First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach"

20 / 20 papers shown

Title
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards Chenlu Ye Yujia Jin Alekh Agarwal Tong Zhang 163 0 0 04 Feb 2025
Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition Zhong Zheng Haochen Zhang Lingzhou Xue OffRL 111 2 0 10 Oct 2024
Settling the Sample Complexity of Online Reinforcement Learning Zihan Zhang Yuxin Chen Jason D. Lee S. Du OffRL 153 23 0 25 Jul 2023
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning Christoph Dann T. V. Marinov M. Mohri Julian Zimmert OffRL 39 30 0 02 Jul 2021
Bilinear Classes: A Structural Framework for Provable Generalization in RL S. Du Sham Kakade Jason D. Lee Shachar Lovett G. Mahajan Wen Sun Ruosong Wang OffRL 144 189 0 19 Mar 2021
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously Chung-Wei Lee Haipeng Luo Chen-Yu Wei Mengxiao Zhang Xiaojin Zhang 68 49 0 11 Feb 2021
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes Dongruo Zhou Quanquan Gu Csaba Szepesvári 66 206 0 15 Dec 2020
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation Jiafan He Dongruo Zhou Quanquan Gu 49 93 0 23 Nov 2020
Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions Gellert Weisz Philip Amortila Csaba Szepesvári OffRL 135 80 0 03 Oct 2020
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon Zihan Zhang Xiangyang Ji S. Du OffRL 89 105 0 28 Sep 2020
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping Dongruo Zhou Jiafan He Quanquan Gu 55 135 0 23 Jun 2020
Model-Based Reinforcement Learning with Value-Targeted Regression Alex Ayoub Zeyu Jia Csaba Szepesvári Mengdi Wang Lin F. Yang OffRL 83 303 0 01 Jun 2020
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 168 136 0 09 Dec 2019
Provably Efficient Reinforcement Learning with Linear Function Approximation Chi Jin Zhuoran Yang Zhaoran Wang Michael I. Jordan 86 555 0 11 Jul 2019
Mean estimation and regression under heavy-tailed distributions--a survey Gabor Lugosi S. Mendelson 87 242 0 10 Jun 2019
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs Max Simchowitz Kevin Jamieson 63 145 0 09 May 2019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds Andrea Zanette Emma Brunskill OffRL 95 276 0 01 Jan 2019
Small-loss bounds for online learning with partial information Thodoris Lykouris Karthik Sridharan Éva Tardos 61 41 0 09 Nov 2017
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning Christoph Dann Tor Lattimore Emma Brunskill 72 308 0 22 Mar 2017
First-order regret bounds for combinatorial semi-bandits Gergely Neu 158 58 0 23 Feb 2015