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Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training
[article]
2021
arXiv
pre-print
Much work has been dedicated to the exploration of Multi-Agent Reinforcement Learning (MARL) paradigms implementing a centralized learning with decentralized execution (CLDE) approach to achieve human-like collaboration in cooperative tasks. Here, we discuss variations of centralized training and describe a recent survey of algorithmic approaches. The goal is to explore how different implementations of information sharing mechanism in centralized learning may give rise to distinct group
arXiv:2107.14316v1
fatcat:n7qmmwwdenfbdngkmzflsqcx7y