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Neural Network Approximation for Pessimistic Offline Reinforcement
  Learning

Neural Network Approximation for Pessimistic Offline Reinforcement Learning

19 December 2023
Di Wu
Yuling Jiao
Li Shen
Haizhao Yang
Xiliang Lu
    OffRL
ArXivPDFHTML

Papers citing "Neural Network Approximation for Pessimistic Offline Reinforcement Learning"

6 / 6 papers shown
Title
Optimal Conservative Offline RL with General Function Approximation via
  Augmented Lagrangian
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
Paria Rashidinejad
Hanlin Zhu
Kunhe Yang
Stuart J. Russell
Jiantao Jiao
OffRL
33
23
0
01 Nov 2022
Approximation bounds for norm constrained neural networks with
  applications to regression and GANs
Approximation bounds for norm constrained neural networks with applications to regression and GANs
Yuling Jiao
Yang Wang
Yunfei Yang
32
18
0
24 Jan 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
206
832
0
12 Oct 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial
  Coverage
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara
Wen Sun
OffRL
91
144
0
13 Jul 2021
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
180
256
0
18 Apr 2021
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
321
1,944
0
04 May 2020
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