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Sample Complexity of Offline Reinforcement Learning with Deep ReLU
  Networks

Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks

11 March 2021
Thanh Nguyen-Tang
Sunil R. Gupta
Hung The Tran
Svetha Venkatesh
    OffRL
ArXivPDFHTML

Papers citing "Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks"

9 / 9 papers shown
Title
On Sample-Efficient Offline Reinforcement Learning: Data Diversity,
  Posterior Sampling, and Beyond
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond
Thanh Nguyen-Tang
Raman Arora
OffRL
33
3
0
06 Jan 2024
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function
  Approximation
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
Thanh Nguyen-Tang
R. Arora
OffRL
46
5
0
24 Feb 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with
  Linear Function Approximation
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation
Thanh Nguyen-Tang
Ming Yin
Sunil R. Gupta
Svetha Venkatesh
R. Arora
OffRL
50
15
0
23 Nov 2022
Understanding Deep Neural Function Approximation in Reinforcement
  Learning via $ε$-Greedy Exploration
Understanding Deep Neural Function Approximation in Reinforcement Learning via εεε-Greedy Exploration
Fanghui Liu
Luca Viano
V. Cevher
36
16
0
15 Sep 2022
On Gap-dependent Bounds for Offline Reinforcement Learning
On Gap-dependent Bounds for Offline Reinforcement Learning
Xinqi Wang
Qiwen Cui
S. Du
OffRL
71
11
0
01 Jun 2022
Pessimistic Model-based Offline Reinforcement Learning under Partial
  Coverage
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara
Wen Sun
OffRL
96
144
0
13 Jul 2021
On the Proof of Global Convergence of Gradient Descent for Deep ReLU
  Networks with Linear Widths
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
Quynh N. Nguyen
38
49
0
24 Jan 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
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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