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To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning

To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning

1 July 2024
Tao Ma
Xuzhi Yang
Zoltan Szabo
    OffRL
ArXivPDFHTML

Papers citing "To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning"

4 / 4 papers shown
Title
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
214
838
0
12 Oct 2021
Provably Efficient Reinforcement Learning with Linear Function
  Approximation Under Adaptivity Constraints
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Chi Jin
Zhuoran Yang
Zhaoran Wang
OffRL
107
166
0
06 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
334
1,951
0
04 May 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
156
1,630
0
02 Feb 2020
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