A Study on Mutual Control among Agents by Temporary Potential Functions.

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One of the major problems of the technique that controls actions of agents by potential functions is to determine the function shapes suitable for the environment. The authors have proposed a method for autonomous acquisition of the parameters of potential functions by the agents with reinforcement learning, especially classifier systems, in multi-agent environment.In this paper, we study a method to introduce temporary potential functions, which agents can set at desirable positions, so as to improve controllability of other agents. Experiments with a pursuit game are done, and the following are confirmed: acquisition of the temporary potential parameters for capturing the prey agent is possible; acquisition of the temporary potential parameters for the hunter agents to control each other and cooperatively capture the prey agent is also possible; the temporary potential increases the capturing probability of the prey agent.
公益社団法人計測自動制御学会の論文