Regret Minimization Experience Replay in Off-Policy Reinforcement Learning

15 May 2021

Papers citing "Regret Minimization Experience Replay in Off-Policy Reinforcement Learning"

7 / 7 papers shown

Title
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning Zhenghai Xue Lang Feng Jiacheng Xu Kang Kang Xiang Wen Jingyi Wang Shuicheng Yan OffRL 53 0 0 10 Mar 2025
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 27 2 0 08 Nov 2024
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 34 9 0 29 May 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization Yongsheng Mei Hanhan Zhou Tian-Shing Lan Guru Venkataramani Peng Wei 39 38 0 21 Feb 2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning Yongsheng Mei Hanhan Zhou Tian-Shing Lan 38 11 0 11 Feb 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout Takuya Hiraoka Takashi Onishi Yoshimasa Tsuruoka OffRL 29 0 0 26 Jan 2023
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets Chen Gong Zhou Yang Yunru Bai Junda He Jieke Shi ... Arunesh Sinha Bowen Xu Xinwen Hou David Lo Guoliang Fan AAML OffRL 24 7 0 07 Oct 2022