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BetaRun Soccer Simulation League Team: Variety, Complexity, and Learning

Published 12 Mar 2017 in cs.AI | (1703.04115v2)

Abstract: RoboCup offers a set of benchmark problems for Artificial Intelligence in form of official world championships since 1997. The most tactical advanced and richest in terms of behavioural complexity of these is the 2D Soccer Simulation League, a simulated robotic soccer competition. BetaRun is a new attempt combining both machine learning and manual programming approaches, with the ultimate goal to arrive at a team that is trained entirely from observing and playing games, and a new development based on agent2D.

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