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The Impact of Data Distribution on Q-learning with Function
  Approximation

The Impact of Data Distribution on Q-learning with Function Approximation

23 November 2021
Pedro P. Santos
Diogo S. Carvalho
A. Sardinha
Francisco S. Melo
    OffRL
ArXivPDFHTML

Papers citing "The Impact of Data Distribution on Q-learning with Function Approximation"

4 / 4 papers shown
Title
Stabilizing Q-learning with Linear Architectures for Provably Efficient
  Learning
Stabilizing Q-learning with Linear Architectures for Provably Efficient Learning
Andrea Zanette
Martin J. Wainwright
OOD
38
5
0
01 Jun 2022
What Matters in Learning from Offline Human Demonstrations for Robot
  Manipulation
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar
Danfei Xu
J. Wong
Soroush Nasiriany
Chen Wang
Rohun Kulkarni
Li Fei-Fei
Silvio Savarese
Yuke Zhu
Roberto Martín-Martín
OffRL
161
475
0
06 Aug 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Rongjun Qin
Songyi Gao
Xingyuan Zhang
Zhen Xu
Shengkai Huang
Zewen Li
Weinan Zhang
Yang Yu
OffRL
137
6
0
01 Feb 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
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