A REINFORCEMENT LEARNING BASED TEAM FOR THE ROBOCUP 2D SOCCER SIMULATION LEAGUE
Luis Celiberto, Reinaldo A. C. Bianchi · 2005
The RoboCup Soccer Domain, which was proposed in order to provide a new long-term challenge for Artificial Intelligence research, constitutes real experimentation and testing activities for the development of intelligent, autonomous robots. At the Centro Universitário da FEI we are developing a project to compete at the Robocup Simulation league, aiming to test Reinforcement Learning algorithms in a Multiagent domain. This text describes the team developed for the Robot Soccer Simulation competition. We conclude that Reinforcement Learning algorithms performs well in this domain.