Opponent Classification in Robot Soccer

Author:

Larik Asma S.,Haider Sajjad

Publisher

Springer International Publishing

Reference18 articles.

1. Borghetti, B.J.: Opponent Modeling in Interesting Adversarial Environments. ProQuest (2008)

2. Schadd, F., Bakkes, E., Spronck, P.: Opponent modeling in real-time strategy games. In: Proceedings of the GAME-ON 2007, pp. 61–68 (2007)

3. Bjarnason, R.V., Peterson, T.S.: Multi-agent learning via implicit opponent modeling. In: Proceedings of the 2002 Congress on Evolutionary Computation, 2002. CEC '02, vol. 2, pp. 1534–1539 (2002)

4. Julia Frolova, “Review of Multi-Agent Systems and Applications,” 29-Mar-2005. [Online]. http://jasss.soc.surrey.ac.uk/8/2/reviews/frolova.html . [accessed: 29-Mar-2013]

5. Kitano, H., Tambe, M., Stone, P., Veloso, M., Coradeschi, S., Osawa, E., Matsubara, H., Noda, I., Asada, M.: The RoboCup synthetic agent challenge 97. In: RoboCup-97: Robot Soccer World Cup I, vol. 1395, H. Kitano, Ed. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 62–73 (1998)

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1. A survey of research on several problems in the RoboCup3D simulation environment;Autonomous Agents and Multi-Agent Systems;2024-03-26

2. Opponent Modeling in RoboCup Soccer Simulation;Advances in Intelligent Systems and Computing;2018-11-21

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