Distributed learning agents in urban traffic control

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

Volumn 2902, Issue , 2003, Pages 324-335

  Camponogara, Eduardo ^a   Kraus Jr , Werner ^a  

^a FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT AGENTS; REINFORCEMENT LEARNING; STOCHASTIC SYSTEMS; STREET TRAFFIC CONTROL; ARTIFICIAL INTELLIGENCE; DISTRIBUTED COMPUTER SYSTEMS; LEARNING SYSTEMS; TRANSPORTATION;

AUTOMATIC-LEARNING; COMPUTATIONAL EXPERIMENT; DISTRIBUTED LEARNING; HIGHER EFFICIENCY; MACHINE LEARNING TECHNOLOGY; STOCHASTIC GAME; TRAFFIC NETWORKS; URBAN TRAFFIC CONTROL;

LEARNING SYSTEMS; TRAFFIC CONTROL;

EID: 0346325848     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24580-3_38     Document Type: Article

References (10)

1. Basar, T., Olsder, G. J.: Dynamic Noncooperative Game Theory. Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania (1999)
2. Bertsekas, D. P.: Dynamic Programming and Optimal Control. Athena Scientific, Belmont, Massachusetts (1995)
3. Bowling, M., Veloso, M. M.: Existence of multiagent equilibria with limited agents. Technical Report CMU-CS-02-104, Computer Science Department, Carnegie Mellon University, Pittsburgh, Pennsylvania (2002)
4. Camponogara, E.: Altruistic agents in dynamic games. In: Proceedings of the 16th Brazilian Symposium on Artificial Intelligence, LNAI 2507, Springer-Verlag, (2002) 74-84
5. Crabtree, M. R., Vincent, R. A., Harrison, S.: Transyt 10 User's Guide: TRRL Application Guide 28. Technical Report, Transport and Road Research Laboratory, Crawthorne, England (1996)
6. Gazis, D. C.: Traffic Theory. Kluwer Academic Publishers, Boston, Massachusetts (2002)
7. Hunt, P. B., Robertson, D. I., Bretherton, R. D., Winton, R. I.: SCOOT - a traffic responsive method of coordinating signals. Technical Report, Transport and Road Research Laboratory, Crowthorne, England (1981)
8. Kaelbling, L. P., Littman, M. L., Moore, A. W.:, Reinforcement learning: a survey. Journal of Artificial Intelligence Research 4 (1996) 237-285
9. Schneider, J., Wong, W.-W., Moore, A. W., Riedmiller, M.: Distributed value functions. In: Proceedings of the 16th International Conference on Machine Learning, Bled, Slovenia (1999) 371-378
10. Sutton, R. S., Barto, A.: Reinforcement Learning: An Introduction. MIT Press, Cambridge, Massachusetts (1998)