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Multi-Agent Reinforcement Learning Chapter 6: Joint-Action Learning with Game Theory
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YouTubeJason Eckstein
Multi-Agent Reinforcement Learning Chapter 6: Joint-Action Learning with Game Theory
Live recording of online meeting reviewing material from "Multi-Agent Reinforcement Learning: Foundations and Modern Approaches" by Stefano V. Albrecht, Filippos Christianos, Lukas Schäfer. In this meeting we extend the ideas of value iteration for games to cases where we can only learn about an environment from sampling. Joint-action learning ...
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