Abstract
Our long-term goal is to build a robot soccer team where the decision making part is based completely on Reinforcement Learning (RL) methods. The paper describes the overall approach pursued by the Karlsruhe Brainstormers simulator league team. Main parts of basic decision making are meanwhile solved using RL techniques. On the tactical level, first empirical results are presented for 2 against 2 attack situations. © 2001 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Riedmiller, M., Merke, A., Meier, D., Hoffmann, A., Sinner, A., Thate, O., & Ehrmann, R. (2001). Karlsruhe Brainstormers - A Reinforcement Learning approach to robotic soccer. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2019 LNAI, pp. 367–372). Springer Verlag. https://doi.org/10.1007/3-540-45324-5_40
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