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Volumn 2, Issue , 2002, Pages 1015-1020

Hybrid cooperative agents with online reinforcement learning for traffic control

Author keywords

Fuzzy neural network; Hybrid agents; Online reinforcement learning; Real time traffic control

Indexed keywords

FUZZY NEURAL NETWORK; HYBRID COOPERATIVE AGENTS; REINFORCEMENT LEARNING;

EID: 0036454218     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (14)
  • 8
    • 0005428321 scopus 로고    scopus 로고
    • A first approach to a taxonomy of fuzzy-neural systems
    • In R. Sun and F. Alexandre, editors; Lawrence Erlbaum Associates
    • L. Magdalena, "A first approach to a taxonomy of fuzzy-neural systems", In R. Sun and F. Alexandre, editors, Connectionist Symbolic Integration, chapter 5. Lawrence Erlbaum Associates, 1996
    • (1996) Connectionist Symbolic Integration, Chapter 5
    • Magdalena, L.1
  • 9
    • 0003806984 scopus 로고    scopus 로고
    • Reinforcement learning based on back propagation for mobile robot navigation
    • Computational Intelligence Group, Department of Cybernetics and Artificial Intelligence, Technical University, Kosice
    • Rudolf Jaksa, Pavol Majernik, Peter Sincak, "Reinforcement Learning Based on Back propagation for Mobile Robot Navigation", Computational Intelligence Group, Department of Cybernetics and Artificial Intelligence, Technical University, Kosice
    • Jaksa, R.1    Majernik, P.2    Sincak, P.3
  • 10
    • 33847202724 scopus 로고
    • Learning to predict by the methods of temporal differences
    • Kluwer Academic Publishers
    • R.S. Sutton "Learning to predict by the methods of Temporal Differences", In Machine Learning 3, Kluwer Academic Publishers, Page(s): 9-44, 1988
    • (1988) Machine Learning 3 , pp. 9-44
    • Sutton, R.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.