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Sample-efficient Learning of Infinite-horizon Average-reward MDPs with
  General Function Approximation

Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation

19 April 2024
Jianliang He
Han Zhong
Zhuoran Yang
ArXivPDFHTML

Papers citing "Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation"

4 / 4 papers shown
Title
A General Framework for Sample-Efficient Function Approximation in
  Reinforcement Learning
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
Zixiang Chen
C. J. Li
An Yuan
Quanquan Gu
Michael I. Jordan
OffRL
108
26
0
30 Sep 2022
Computationally Efficient Horizon-Free Reinforcement Learning for Linear
  Mixture MDPs
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs
Dongruo Zhou
Quanquan Gu
73
43
0
23 May 2022
Optimism in Reinforcement Learning with Generalized Linear Function
  Approximation
Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Yining Wang
Ruosong Wang
S. Du
A. Krishnamurthy
127
135
0
09 Dec 2019
Model-free Reinforcement Learning in Infinite-horizon Average-reward
  Markov Decision Processes
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Chen-Yu Wei
Mehdi Jafarnia-Jahromi
Haipeng Luo
Hiteshi Sharma
R. Jain
103
99
0
15 Oct 2019
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