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Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation
  for Reinforcement Learning

Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning

7 July 2020
Ming Yin
Yu Bai
Yu-Xiang Wang
    OffRL
ArXivPDFHTML

Papers citing "Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning"

14 / 14 papers shown
Title
Policy Finetuning in Reinforcement Learning via Design of Experiments
  using Offline Data
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data
Ruiqi Zhang
Andrea Zanette
OffRL
OnRL
40
7
0
10 Jul 2023
Offline Learning in Markov Games with General Function Approximation
Offline Learning in Markov Games with General Function Approximation
Yuheng Zhang
Yunru Bai
Nan Jiang
OffRL
21
8
0
06 Feb 2023
Offline Stochastic Shortest Path: Learning, Evaluation and Towards
  Optimality
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
Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective
Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective
Ting-Han Fan
Peter J. Ramadge
CML
FAtt
OffRL
21
2
0
06 Oct 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement
  Learning
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning
Andrea Zanette
Martin J. Wainwright
Emma Brunskill
OffRL
29
111
0
19 Aug 2021
Variance-Aware Off-Policy Evaluation with Linear Function Approximation
Variance-Aware Off-Policy Evaluation with Linear Function Approximation
Yifei Min
Tianhao Wang
Dongruo Zhou
Quanquan Gu
OffRL
37
38
0
22 Jun 2021
Nearly Horizon-Free Offline Reinforcement Learning
Nearly Horizon-Free Offline Reinforcement Learning
Tongzheng Ren
Jialian Li
Bo Dai
S. Du
Sujay Sanghavi
OffRL
26
49
0
25 Mar 2021
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
Yaqi Duan
Chi Jin
Zhiyuan Li
OffRL
20
47
0
25 Mar 2021
Infinite-Horizon Offline Reinforcement Learning with Linear Function
  Approximation: Curse of Dimensionality and Algorithm
Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm
Lin Chen
B. Scherrer
Peter L. Bartlett
OffRL
75
16
0
17 Mar 2021
Fast Rates for the Regret of Offline Reinforcement Learning
Fast Rates for the Regret of Offline Reinforcement Learning
Yichun Hu
Nathan Kallus
Masatoshi Uehara
OffRL
11
30
0
31 Jan 2021
Is Pessimism Provably Efficient for Offline RL?
Is Pessimism Provably Efficient for Offline RL?
Ying Jin
Zhuoran Yang
Zhaoran Wang
OffRL
27
346
0
30 Dec 2020
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can
  be Exponentially Harder than Online RL
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL
Andrea Zanette
OffRL
23
71
0
14 Dec 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
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
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
Nathan Kallus
Masatoshi Uehara
OffRL
38
181
0
22 Aug 2019
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