Asymptotic Convergence and Performance of Multi-Agent Q-Learning Dynamics

Achieving convergence of multiple learning agents in general $N$-player games is imperative for the development of safe and reliable machine learning (ML) algorithms and their application to autonomous systems. Yet it is known that, outside the bounds of simple two-player games, convergence cannot b...

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Hauptverfasser: Hussain, Aamal Abbas, Belardinelli, Francesco, Piliouras, Georgios
Format: Artikel
Sprache:eng
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