Generation of Offensive Strategies in Robot Soccer Game

Jie Wu, Václav Svaton, J. Martinovič, Eliska Ochodkova, V. Snás̃el
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引用次数: 1

Abstract

The robot soccer game is full of challenges in the field of robot and artificial intelligence. Strategy is a kernel subsystem of robot soccer game. In this paper, a method to generate offensive strategies based on simulated game is presented. The experiments show that states obtained during the simulated game are suited for new strategies generation and strategies optimization.
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机器人足球比赛中进攻策略的生成
机器人足球是机器人和人工智能领域充满挑战的比赛。策略是机器人足球比赛的核心子系统。本文提出了一种基于模拟博弈的进攻策略生成方法。实验表明,在模拟博弈过程中获得的状态适合于新策略的生成和策略优化。
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