ResearchTrend.AI
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning

Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning

Hon Tik Tse
Hofung Leung
ArXivPDFHTML

Papers citing "Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning"

2 / 2 papers shown
Title
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang
Heng Dong
V. Lesser
Chongjie Zhang
55
211
0
18 Mar 2020
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
140
355
0
16 Oct 2019