Analyzing and Learning an Opponent’s Strategies in the RoboCup Small Size League

Author:

Yasui Kotaro,Kobayashi Kunikazu,Murakami Kazuhito,Naruse Tadashi

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Panyapiang, T., Chaiso, K., Sukvichai, K., Lertariyasakchai, P.: Skuba 2012 Extended Team Description (2012), http://robocupssl.cpe.ku.ac.th/robocup2012:teams (accessed September 15, 2013)

2. Bowling, M., Browning, B., Veloso, M.M.: Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection. In: Proceedings of International Conference on Automated Planning and Scheduling 2004, pp. 376–383 (2004)

3. Trevizan, F.W., Veloso, M.M.: Learning Opponent’s Strategies In the RoboCup Small Size League. In: Proceedings of AAMAS 2010 Workshop on Agents in Real-time and Dynamic Environments (2010)

4. Lecture Notes in Artificial Intelligence;U. Visser,2003

5. Davies, D.L., Bouldin, D.W.: A Cluster Separation Measure. IEEE Transactions on Pattern Analysis and Machine Intelligence 1(2), 224–227 (1979)

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