Robot soccer match system is a typical multi-agent cooperation system; therefore it is a standard platform for researching multi-agent cooperation problem.
机器人足球比赛系统是典型的多智能体协作系统，是研究多智能体协作问题的标准平台。
After detailed understanding and long-term study of multi-agent system, this thesis discussed and realized a multi-agent robot system.
本文在详细了解和研究多智能体系统的基础之上讨论并实现了一个多智能体机器人系统。
Based on soccer robot simulation as its research platform, this paper studies the learning of high level strategy of multi-agent adversarial system.
本文以足球仿真机器人系统为研究平台，研究多智能体对抗系统的高层策略学习问题。
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