Monotonic value function factorisation for deep multi-agent reinforcement learning

In many real-world settings, a team of agents must coordinate its behaviour while acting in a decentralised fashion. At the same time, it is often possible to train the agents in a centralised fashion where global state information is available and communication constraints are lifted. Learning join...

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Bibliographic Details
Main Authors: Rashid, T, Samvelyan, M, Schröder de Witt, C, Farquhar, G, Foerster, JN, Whiteson, S
Format: Journal article
Language:English
Published: Journal of Machine Learning Research 2020

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