Learning cooperative behavior in multi-agent environment a case study of choice of play-plans in soccer
Soccer, association football, is a typical team-game, and is considered as a standard problem of multi-agent system and cooperative computation. We are developing Soccer Server, a simulator of soccer, which provides a common test-bench to evaluate various multi-agent systems and cooperative algorithms. We are working on learning co-operative behavior in multi-agent environment using the server. In this article, we report a result of case study of learning selection of play-plans in multi-agent environment.
KeywordsMulti-agent System Machine Learning Neural Networks
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