Layered learning

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

Volumn 1810, Issue , 2000, Pages 369-381

  Stone, Peter ^a   Veloso, Manuela ^b  

^a AT AND T LABS RESEARCH   (United States)

^b Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING;

COMPLEX DOMAINS; DIRECT MAPPING; DOMAIN INDEPENDENTS; LAYERED LEARNING; ROBOTIC SOCCER; SEPARATE LEARNING; TASK DECOMPOSITION; TRAINING EXAMPLE;

LEARNING ALGORITHMS;

EID: 84974678409     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45164-1_38     Document Type: Conference Paper

References (23)

1. David Andre and Astro Teller. Evolving team Darwin United. In Minoru Asada and Hiroaki Kitano, editors, RoboCup-98: Robot Soccer World Cup II. Springer Verlag, Berlin, 1999. 377
2. Minoru Asada and Hiroaki Kitano, editors. RoboCup-98: Robot Soccer World Cup II. Lecture Notes in Artificial Intelligence 1604. Springer Verlag, Berlin, 1999. 378
3. Peter Dayan and Geoffrey E. Hinton. Feudal reinforcement learning. In S. J. H anson,J. D. Cowan, and C. L. Giles, editors, Advances in Neural Information Processing Systems 5. Morgan Kaufmann, San Mateo, CA, 1993. 379
4. Thomas G. Dietterich. The MAXQ method for hierarchical reinforcement learning. In Proceedings of the Fifteenth International Conference on Machine Learning. Morgan Kaufmann, 1998. 379
5. Bruce L. Digney. Emergent hierarchical control structures: Learning reactive/hierarchical relationships in reinforcement environments. In Proceedings of the 4th International Conference of Simulation of Adaptive Behavior, pages 363–372. MIT Press, 1996. 379
6. Leslie Pack Kaelbling, Michael L. Littman, and Andrew W. Moore. Reinforcement learning: A survey. Journal of Artificial Intelligence Research, 4:237–285, May 1996. 379
7. Hiroaki Kitano, editor. RoboCup-97: Robot Soccer World Cup I. Springer Verlag, Berlin, 1998. 378
8. Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, and Minoru Asada. The RoboCup synthetic agent challenge 97. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, pages 24–29, San Francisco, CA, 1997. Morgan Kaufmann. 372
9. John R. Koza. Genetic Programming. MIT Press, 1992. 377
10. Long-Ji Lin. Reinforcement Learning for Robots Using Neural Networks. PhD thesis, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 1993. 379
11. Sean Luke, Charles Hohn, Jonathan Farris, Gary Jackson, and James Hendler. Coevolving soccer softbot team coordination with genetic programming. In Hiroaki Kitano, editor, RoboCup-97: Robot Soccer World Cup I, pages 398–411, Berlin, 1998. Springer Verlag. 377
12. Pattie Maes and Rodney A. Brooks. Learning to coordinate behaviors. In Proceedings of the Eighth National Conference on Artificial Intelligence, pages 796–802. Morgan Kaufmann, 1990. 379
13. Sridhar Mahadevan and Jonathan Connell. Scaling reinforcement learning to robotics by exploiting the subsumption architecture. In Proceedings of the Eighth International Workshop on Machine Learning, pages 328–332, 1991. 379
14. Itsuki Noda, Hitoshi Matsubara, Kazuo Hiraki, and Ian Frank. Soccer server: A tool for research on multiagent systems. Applied Artificial Intelligence, 12:233–250, 1998. 372
15. J. Ross Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo, CA, 1993. 374
16. Robert E. Shapire. The strength of weak learnability. Machine Learning, 5:197–227, 1990. 378
17. Peter Stone. Layered Learning in Multi-Agent Systems. PhD thesis, Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, December 1998. Available as technical report CMU-CS-98-187. 372, 376
18. Peter Stone and Manuela Veloso. A layered approach to learning client behaviors in the RoboCup soccer server. Applied Artificial Intelligence, 12:165–188, 1998. 369, 373, 374
19. Peter Stone and Manuela Veloso. Task decomposition, dynamic role assignment, and low-bandwidth communication for real-time strategic teamwork. Artificial Intelligence, 110(2):241–273, June 1999. 378, 379
20. Peter Stone and Manuela Veloso. Team partitioned, opaque transition reinforcement learning. In Proceedings of the Third Annual Conference on Autonomous Agents, pages 206–212. ACM Press, May 1999. 369, 376
21. Peter Stone, Manuela Veloso, and Patrick Riley. The CMUnited-98 champion simulator team. In Minoru Asada and Hiroaki Kitano, editors, RoboCup-98: Robot Soccer World Cup II. Springer Verlag, Berlin, 1999. 378
22. Manuela Veloso, Enrico Pagello, and Hiroaki Kitano, editors. RoboCup-99: Robot Soccer World Cup III. Springer Verlag, Berlin, 2000. To appear. 378
23. David H. Wolpert. Stacked generalization. Neural Networks, 5:241–259, 1992. 378