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Volumn 2, Issue , 1999, Pages 764-769

A neural reinforcement learning approach to learn local dispatching policies in production scheduling

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFORT; COMPUTATIONAL SOLUTIONS; GENERALIZATION ABILITY; JOB SHOP SCHEDULING PROBLEMS; PRODUCTION SCHEDULING; REINFORCEMENT LEARNING APPROACH; RELEVANT FEATURES; SCHEDULING PROBLEM;

EID: 84880652475     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (62)

References (7)
  • 1
    • 0003259931 scopus 로고    scopus 로고
    • Improving elevator performance using reinforcement learning
    • M. E. Hasselmo D. S. Touretzky, M. C. Mozer, editor, MIT Press
    • A. G. Barto and R. H. Crites. Improving elevator performance using reinforcement learning. In M. E. Hasselmo D. S. Touretzky, M. C. Mozer, editor, Advances in Neural Information Processing Systems 8. MIT Press, 1996.
    • (1996) Advances in Neural Information Processing Systems 8
    • Barto, A.G.1    Crites, R.H.2
  • 2
    • 0000719863 scopus 로고
    • Packet routing in dynamically changing networks - A reinforcement learning approach
    • J. Cowan, G. Tesauro, and J. Alspector, editors
    • Justin Boyan and Michael Littman. Packet routing in dynamically changing networks - a reinforcement learning approach. In J. Cowan, G. Tesauro, and J. Alspector, editors, Advances in Neural Information Processing Systems 6, 1994.
    • (1994) Advances in Neural Information Processing Systems 6
    • Boyan, J.1    Littman, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.