Jie Wu, Václav Svaton, J. Martinovič, Eliska Ochodkova, V. Snás̃el
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Generation of Offensive Strategies in Robot Soccer Game
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.