BRIDGING THE GAP : LEARNING IN THE ROBOCUP SIMULATION AND MIDSIZE LEAGUE

In this paper, we discuss the application of reinforcement learning for autonomous robots using the RoboCup domain as benchmark. The paper compares successful learning approaches in simulation with learning on real robots and develops methodologies to overcome the additional problems in real world.