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...

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Main Authors: Castellini, J, Oliehoek, FA, Savani, R, Whiteson, S
格式: Journal article
语言:English
出版: Springer 2021