Performance Evaluation of an Evolutionary Method for RoboCup Soccer Strategies

Author:

Nakashima Tomoharu,Takatani Masahiro,Udo Masayo,Ishibuchi Hisao,Nii Manabu

Publisher

Springer Berlin Heidelberg

Reference7 articles.

1. RoboCup official page, http://www.robocup.org

2. Lecture Notes in Computer Science;T. Nakashima,2004

3. Chellapilla, K., Fogel, D.B.: Evolving Neural Networks to Play Checkers Without Relying on Expert Knowledge. IEEE Trans. on Neural Networks 10(6), 1382–3191 (1999)

4. Chellapilla, K., Fogel, D.B.: Evolving an Expert Checkers Playing Program Without Using Human Expertise. IEEE Trans. on Evolutionary Computation 5(4), 422–428 (2001)

5. Luke, S., Spector, L.: Evolving Teamwork and Coordination with Genetic Programming. In: Proceedings of the First Annual Conference on Genetic Programming, pp. 150–156 (1996)

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2. Towards Rapid Multi-robot Learning from Demonstration at the RoboCup Competition;RoboCup 2014: Robot World Cup XVIII;2015

3. A Graph Theory-Based Evaluation of Strategy Set in Robot Soccer;Intelligent Data analysis and its Applications, Volume I;2014

4. Analysis of strategy in robot soccer game;Neurocomputing;2013-06

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