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Adaptive Advantage-Guided Policy Regularization for Offline
  Reinforcement Learning

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning

30 May 2024
Tenglong Liu
Yang Li
Yixing Lan
Hao Gao
Wei Pan
Xin Xu
    OffRL
ArXivPDFHTML

Papers citing "Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning"

5 / 5 papers shown
Title
Skill Expansion and Composition in Parameter Space
Skill Expansion and Composition in Parameter Space
Tenglong Liu
J. Li
Yinan Zheng
Haoyi Niu
Yixing Lan
Xin Xu
Xianyuan Zhan
51
4
0
09 Feb 2025
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Haozhe Ma
Zhengding Luo
Thanh Vinh Vo
Kuankuan Sima
Tze-Yun Leong
29
4
0
06 Aug 2024
CORL: Research-oriented Deep Offline Reinforcement Learning Library
CORL: Research-oriented Deep Offline Reinforcement Learning Library
Denis Tarasov
Alexander Nikulin
Dmitry Akimov
Vladislav Kurenkov
Sergey Kolesnikov
OffRL
46
76
0
13 Oct 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
206
832
0
12 Oct 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
321
1,944
0
04 May 2020
1