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A2PO: Towards Effective Offline Reinforcement Learning from an
  Advantage-aware Perspective

A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective

12 March 2024
Yunpeng Qing
Shunyu Liu
Jingyuan Cong
Kaixuan Chen
Yihe Zhou
Mingli Song
    OffRL
ArXivPDFHTML

Papers citing "A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective"

5 / 5 papers shown
Title
Q-Transformer: Scalable Offline Reinforcement Learning via
  Autoregressive Q-Functions
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Yevgen Chebotar
Q. Vuong
A. Irpan
Karol Hausman
F. Xia
...
Brianna Zitkovich
Tomas Jackson
Kanishka Rao
Chelsea Finn
Sergey Levine
OffRL
121
81
0
18 Sep 2023
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement
  Learning with Dependent Samples
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples
Mustafa O. Karabag
Ufuk Topcu
OffRL
21
4
0
07 Mar 2023
Q-learning Decision Transformer: Leveraging Dynamic Programming for
  Conditional Sequence Modelling in Offline RL
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL
Taku Yamagata
Ahmed Khalil
Raúl Santos-Rodríguez
OffRL
151
70
0
08 Sep 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