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Volumn 223, Issue , 2006, Pages

Reinforcement learning-based control of traffic lights in non-stationary environments: A case study in a microscopic simulator

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT DETECTION; NON-STATIONARITIES; NON-STATIONARY ENVIRONMENT; OPERATIONAL TASKS; PRIORITIZED SWEEPING; REALISTIC SCENARIO; REINFORCEMENT LEARNING APPROACH; TRAFFIC SIMULATORS;

EID: 78650472600     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (13)
  • 1
    • 33644809850 scopus 로고    scopus 로고
    • A distributed approach for coordination of traffic signal agents
    • March
    • Bazzan, A. L. C. A distributed approach for coordination of traffic signal agents. Autonomous Agents and Multiagent Systems 10, 1 (March 2005), 131-164.
    • (2005) Autonomous Agents and Multiagent Systems , vol.10 , Issue.1 , pp. 131-164
    • Bazzan, A.L.C.1
  • 3
    • 0346325848 scopus 로고    scopus 로고
    • Distributed learning agents in urban traffic control
    • Jr, W. K. F. Moura-Pires and S. Abreu, Eds
    • Camponogara, E., and Jr., W. K. Distributed learning agents in urban traffic control. In EPIA (2003), F. Moura-Pires and S. Abreu, Eds, pp. 324-335.
    • (2003) EPIA , pp. 324-335
    • Camponogara, E.1
  • 4
    • 33749246501 scopus 로고    scopus 로고
    • Hidden-mode Markov decision processes for nonstationary sequential decision making
    • London, UK Springer-Verlag
    • Choi, S. P. M., Yeung, D.-Y., and Zhang, N. L. Hidden-mode markov decision processes for nonstationary sequential decision making. In Sequence Learning - Paradigms, Algorithms, and Applications (London, UK, 2001), Springer-Verlag, pp. 264-287.
    • (2001) Sequence Learning - Paradigms, Algorithms, and Applications , pp. 264-287
    • Choi, S.P.M.1    Yeung, D.-Y.2    Zhang, N.L.3
  • 5
    • 33751365482 scopus 로고    scopus 로고
    • Traffic lights control with adaptive group formation based on swarm intelligencetraffic lights control with adaptive group formation based on swarm intelligence
    • Brussels, September M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stuetzle, Eds, Lecture Notes in Computer Science, Springer
    • de Oliveira, D., and Bazzan, A. L. C. Traffic lights control with adaptive group formation based on swarm intelligencetraffic lights control with adaptive group formation based on swarm intelligence. In Proceedings of the 5th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2006 (Brussels, September 2006), M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stuetzle, Eds, Lecture Notes in Computer Science, Springer, pp. 520-521.
    • (2006) Proceedings of the 5th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2006 , pp. 520-521
    • De Oliveira, D.1    Bazzan, A.L.C.2
  • 6
    • 0036618011 scopus 로고    scopus 로고
    • Multiple model-based reinforcement learning
    • Doya, K., Samejima, K., Katagiri, K., and Kawato, M. Multiple model-based reinforcement learning. Neural Computation 14, 6 (2002), 1347-1369.
    • (2002) Neural Computation , vol.14 , Issue.6 , pp. 1347-1369
    • Doya, K.1    Samejima, K.2    Katagiri, K.3    Kawato, M.4
  • 7
    • 0001232636 scopus 로고
    • A cellular automaton model for freeway traffic
    • Nagel, K., and Schreckenberg, M. A cellular automaton model for freeway traffic. Journal de Physique I 2 (1992), 2221.
    • (1992) Journal de Physique I , vol.2 , pp. 2221
    • Nagel, K.1    Schreckenberg, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.