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Pessimistic Model-based Offline Reinforcement Learning under Partial
  Coverage

Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage

13 July 2021
Masatoshi Uehara
Wen Sun
    OffRL
ArXivPDFHTML

Papers citing "Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage"

5 / 5 papers shown
Title
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning
Yen-Ru Lai
Fu-Chieh Chang
Pei-Yuan Wu
OffRL
34
1
0
22 Aug 2024
Continuous Doubly Constrained Batch Reinforcement Learning
Continuous Doubly Constrained Batch Reinforcement Learning
Rasool Fakoor
Jonas W. Mueller
Kavosh Asadi
Pratik Chaudhari
Alex Smola
OffRL
164
23
0
18 Feb 2021
Model-free Representation Learning and Exploration in Low-rank MDPs
Model-free Representation Learning and Exploration in Low-rank MDPs
Aditya Modi
Jinglin Chen
A. Krishnamurthy
Nan Jiang
Alekh Agarwal
OffRL
85
75
0
14 Feb 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline
  and Online RL
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour
Dale Schuurmans
S. Gu
OffRL
172
106
0
21 Jul 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
311
1,662
0
04 May 2020
1