Multi-Agent Reinforcement Learning and Genetic Policy Sharing

Computer Science – Multiagent Systems

Scientific paper

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7 pages, 11 figures

Scientific paper

The effects of policy sharing between agents in a multi-agent dynamical system has not been studied extensively. I simulate a system of agents optimizing the same task using reinforcement learning, to study the effects of different population densities and policy sharing. I demonstrate that sharing policies decreases the time to reach asymptotic behavior, and results in improved asymptotic behavior.

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