Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning

Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning

Recent years have seen the application of deep reinforcement learning techniques to cooperative multi-agent systems, with great empirical success. However, given the lack of theoretical insight, it remains unclear what the employed neural networks are learning, or how we should enhance their learnin...

Podrobná bibliografie
Hlavní autoři:	Castellini, J, Oliehoek, FA, Savani, R, Whiteson, S
Médium:	Journal article
Jazyk:	English
Vydáno:	Springer 2021

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