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    An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games

    In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not stationary and the Markov pro...

    Karl Tuyls, Pieter Jan ’T Hoen… in Autonomous Agents and Multi-Agent Systems (2006)