Evolving keepaway soccer players through task decomposition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2723, Issue , 2003, Pages 356-368

  Whiteson, Shimon ^a   Kohl, Nate ^a   Miikkulainen, Risto ^a   Stone, Peter ^a  

^a University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CALCULATIONS; COMPLEX NETWORKS; DECISION TREES; EVOLUTIONARY ALGORITHMS; LEARNING SYSTEMS; SPORTS;

CO-EVOLUTIONARY APPROACH; COMPLEX CONTROL; EFFECTIVE BEHAVIORS; LAYERED LEARNING; NEURO EVOLUTIONS; OVER-CONSTRAINED; SEQUENTIAL APPROACH; TASK DECOMPOSITION;

LEARNING ALGORITHMS;

EID: 35248828240     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45105-6_41     Document Type: Article

References (18)

1. ∼trb/TeamBots/Domains/SoccerBots.
2. F. Gomez and R. Miikkulainen. Incremental evolution of complex general behavior. Adaptive Behavior, 5:317-342, 1997.
3. F. Gomez and R. Miikkulainen. Solving non-Markovian control tasks with neuroevolution. Denver, CO, 1999.
4. F. Gomez and R. Miikkulainen. Learning robust nonlinear control with neuroevolution. Technical Report AI01-292, The University of Texas at Austin Department of Computer Sciences, 2001.
5. T. Haynes and S. Sen. Evolving behavioral strategies in predators and prey. In G. Weiß and S. Sen, editors, Adaptation and Learning in Multiagent Systems, pages 113-126. Springer Verlag, Berlin, 1996.
6. W. H. Hsu and S. M. Gustafson. Genetic programming and multi-agent layered learning by reinforcements. In Genetic and Evolutionary Computation Conference, New York, NY, July 2002.
7. I. Noda, H. Matsubara, K. Hiraki, and I. Frank. Soccer server: A tool for research on multiagent systems. Applied Artificial Intelligence, 12:233-250, 1998.
8. A. D. Pietro, L. While, and L. Barone. Learning in RoboCup keepaway using evolutionary algorithms. In GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1065-1072, New York, 9-13 July 2002. Morgan Kaufmann Publishers.
9. M. A. Potter and K. A. D. Jong. Cooperative coevolution: An architecture for evolving coadapted subcomponents. Evolutionary Computation, 8:1-29, 2000.
10. C. D. Rosin and R. K. Belew. Methods for competitive co-evolution: Finding opponents worth beating. In Proceedings of the Sixth International Conference on Genetic Algorithms, pages 373-380, San Mateo,CA, July 1995. Morgan Kaufman.
11. J. D. Schaffer, D. Whitley, and L. J. Eshelman. Combinations of genetic algorithms and neural networks: A survey of the state of the art. In D. Whitley and J. Schaffer, editors, International Workshop on Combinations of Genetic Algorithms and Neural Networks (COGANN-92), pages 1-37. IEEE Computer Society Press, 1992.
12. P. Stone. Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer. MIT Press, 2000.
13. P. Stone, (ed.), M. Asada, T. Balch, M. Fujita, G. Kraetzschmar, H. Lund, P. Scerri, S. Tadokoro, and G. Wyeth. Overview of RoboCup-2000. In RoboCup-2000: Robot Soccer World Cup IV. Springer Verlag, Berlin, 2001.
14. P. Stone and R. S. Sutton. Scaling reinforcement learning toward RoboCup soccer. In Proceedings of the Eighteenth International Conference on Machine Learning, pages 537-544. Morgan Kaufmann, San Francisco, CA, 2001.
15. P. Stone and R. S. Sutton. Keepaway soccer: a machine learning testbed. In RoboCup-2001: Robot Soccer World Cup V. Springer Verlag, Berlin, 2002.
16. P. Stone and M. Veloso. Layered learning. In Machine Learning: ECML 2000, pages 369-381. Springer Verlag, Barcelona,Catalonia,Spain, May/June 2000. Proceedings of the Eleventh European Conference on Machine Learning (ECML-2000).
17. S. Whiteson and P. Stone. Concurrent layered learning. In Second International Joint Conference on Autonomous Agents and Multiagent Systems, July 2003. To appear.
18. C. H. Yong and R. Miikkulainen. Cooperative coevolution of multi-agent systems. Technical Report AI01-287, The University of Texas at Austin Department of Computer Sciences, 2001.