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Provably Efficient Offline Reinforcement Learning with Perturbed Data
  Sources

Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources

14 June 2023
Chengshuai Shi
Wei Xiong
Cong Shen
Jing Yang
    OffRL
ArXivPDFHTML

Papers citing "Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources"

5 / 5 papers shown
Title
Federated Offline Reinforcement Learning: Collaborative Single-Policy
  Coverage Suffices
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
Jiin Woo
Laixi Shi
Gauri Joshi
Yuejie Chi
OffRL
24
3
0
08 Feb 2024
Pessimistic Model-based Offline Reinforcement Learning under Partial
  Coverage
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara
Wen Sun
OffRL
91
20
0
13 Jul 2021
Federated Multi-Armed Bandits
Federated Multi-Armed Bandits
Chengshuai Shi
Cong Shen
FedML
53
91
0
28 Jan 2021
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
Aayam Shrestha
Stefan Lee
Prasad Tadepalli
Alan Fern
OffRL
40
23
0
18 Oct 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
329
1,944
0
04 May 2020
1