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Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement
  Learning

Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning

15 April 2024
Linjie Xu
Zichuan Liu
Alexander Dockhorn
Diego Perez-Liebana
Jinyu Wang
Lei Song
Jiang Bian
ArXivPDFHTML

Papers citing "Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning"

2 / 2 papers shown
Title
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
26
2
0
05 Jun 2023
The Primacy Bias in Deep Reinforcement Learning
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
85
178
0
16 May 2022
1