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 rl and real-world football strategy


How does AI play football? An analysis of RL and real-world football strategies

#artificialintelligence

Agent-based simulation (ABS) is a computationally demanding technique for simulating dynamic complex systems and observing "emergent" behaviour. With the use of ABS, we can explore different outcomes of phenomena where it is infeasible to conduct research testing and hypothesis formulations in real life. In the context of football we can use ABS to examine effects of different formations on match outcomes or study various play styles using millions of simulated football games. The availability of good simulation environments are critical to ABS. Fortunately, football has received a lot of attention in this field thanks to the long history of the RoboCup simulation track [itsuki1995soccer].