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

12 March 2024

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

6 / 6 papers shown

Title
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 129 81 0 18 Sep 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? Yihe Zhou Shunyu Liu Yunpeng Qing Kaixuan Chen Tongya Zheng Yanhao Huang Jie Song 31 17 0 27 May 2023
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples Mustafa O. Karabag Ufuk Topcu OffRL 37 4 0 07 Mar 2023
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL Taku Yamagata Ahmed Khalil Raúl Santos-Rodríguez OffRL 160 72 0 08 Sep 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020