This paper presents the latest progress of WrightEagle, the champion of RoboCup 2D simulation league. We introduce a decision-making framework, an extension of MAXQ-OP framework using multiple heuristic functions and a reachable state checking method. The experimental results show that our approach improves the quality of solutions in complex situations. © 2014 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Zhang, H., & Chen, X. (2014). The decision-making framework of WrightEagle, the RoboCup 2013 soccer simulation 2D league champion team. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8371 LNAI, pp. 114–124). Springer Verlag. https://doi.org/10.1007/978-3-662-44468-9_11
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