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Rethinking Model-based, Policy-based, and Value-based Reinforcement
  Learning via the Lens of Representation Complexity

Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity

28 December 2023
Guhao Feng
Han Zhong
    OffRL
ArXivPDFHTML

Papers citing "Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity"

3 / 3 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
88
25
0
30 Sep 2022
Pessimistic Model-based Offline Reinforcement Learning under Partial
  Coverage
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara
Wen Sun
OffRL
81
127
0
13 Jul 2021
Policy Mirror Descent for Reinforcement Learning: Linear Convergence,
  New Sampling Complexity, and Generalized Problem Classes
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes
Guanghui Lan
62
120
0
30 Jan 2021
1