Experience Replay with Likelihood-free Importance Weights

23 June 2020

Papers citing "Experience Replay with Likelihood-free Importance Weights"

9 / 9 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
Online Continual Knowledge Learning for Language Models Yuhao Wu Tongjun Shi Karthick Sharma Chun Seah Shuhao Zhang CLL KELM 28 4 0 16 Nov 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
Understanding the effect of varying amounts of replay per step A. Paul Videh Raj Nema 6 0 0 20 Feb 2023
Offline Policy Optimization in RL with Variance Regularizaton Riashat Islam Samarth Sinha Homanga Bharadhwaj Samin Yeasar Arnob Zhuoran Yang Animesh Garg Zhaoran Wang Lihong Li Doina Precup OffRL 21 0 0 29 Dec 2022
Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective Ting-Han Fan Peter J. Ramadge CML FAtt OffRL 21 2 0 06 Oct 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience C. Banerjee Zhiyong Chen N. Noman 11 30 0 24 Sep 2021
Taylor Expansion of Discount Factors Yunhao Tang Mark Rowland Rémi Munos Michal Valko OffRL 24 5 0 11 Jun 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 26 104 0 10 Mar 2021