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pro vyhledávání: '"Chua, Samuel Jia Cong"'
Autor:
Wu, Zida, Lauriere, Mathieu, Chua, Samuel Jia Cong, Geist, Matthieu, Pietquin, Olivier, Mehta, Ankur
Mean Field Games (MFGs) have the ability to handle large-scale multi-agent systems, but learning Nash equilibria in MFGs remains a challenging task. In this paper, we propose a deep reinforcement learning (DRL) algorithm that achieves population-depe
Externí odkaz:
http://arxiv.org/abs/2403.03552
