Prioritizing Samples in Reinforcement Learning with Reducible Loss

22 August 2022

Papers citing "Prioritizing Samples in Reinforcement Learning with Reducible Loss"

8 / 8 papers shown

Title
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning Kaiyan Zhao Yiming Wang Yuyang Chen Xiaoguang Niu Yan Li Leong Hou U 31 1 0 27 Oct 2024
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 106 2 0 23 Oct 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He C. Chang Huazhe Xu Ling Pan 83 6 0 03 Jun 2024
REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes George Hughes Ilija Bogunovic Zi Wang 15 3 0 01 Dec 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 24 39 0 07 Apr 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization Yongsheng Mei Hanhan Zhou Tian-Shing Lan Guru Venkataramani Peng Wei 33 38 0 21 Feb 2023
Large Batch Experience Replay Thibault Lahire M. Geist Emmanuel Rachelson OffRL 40 13 0 04 Oct 2021
When does loss-based prioritization fail? Nie Hu Xinyu Hu Rosanne Liu Sara Hooker J. Yosinski 214 8 0 16 Jul 2021