Nearly Horizon-Free Offline Reinforcement Learning

Nearly Horizon-Free Offline Reinforcement Learning

25 March 2021

Sujay Sanghavi

Papers citing "Nearly Horizon-Free Offline Reinforcement Learning"

11 / 11 papers shown

Title
Settling the Sample Complexity of Online Reinforcement Learning Zihan Zhang Yuxin Chen Jason D. Lee S. Du OffRL 98 21 0 25 Jul 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Jianhao Wang Jin Zhang Haozhe Jiang Junyu Zhang Liwei Wang Chongjie Zhang OffRL 26 9 0 31 May 2023
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness Haotian Ye Xiaoyu Chen Liwei Wang S. Du OffRL 24 6 0 19 Oct 2022
Offline Stochastic Shortest Path: Learning, Evaluation and Towards Optimality Ming Yin Wenjing Chen Mengdi Wang Yu-Xiang Wang OffRL 30 4 0 10 Jun 2022
Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies Zihan Zhang Xiangyang Ji S. Du 28 21 0 24 Mar 2022
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism Ming Yin Yaqi Duan Mengdi Wang Yu-Xiang Wang OffRL 34 65 0 11 Mar 2022
When is Offline Two-Player Zero-Sum Markov Game Solvable? Qiwen Cui S. Du OffRL 30 29 0 10 Jan 2022
Settling the Horizon-Dependence of Sample Complexity in Reinforcement Learning Yuanzhi Li Ruosong Wang Lin F. Yang 17 20 0 01 Nov 2021
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings Ming Yin Yu-Xiang Wang OffRL 32 19 0 13 May 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 38 181 0 22 Aug 2019