Intelligent Multi-Agent Dynamical Systems and Policy Sharing
نویسنده
چکیده
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. Rich behavior emerges, dependent on the varied parameters, giving insight towards the dynamics of the system. We demonstrate that sharing decreases the time to reach asymptotic behavior, and improves the performance of the optimal behavior.
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تاریخ انتشار 2008