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...

書誌詳細
主要な著者:	Castellini, J, Oliehoek, FA, Savani, R, Whiteson, S
フォーマット:	Journal article
言語:	English
出版事項:	Springer 2021

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