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Volumn 2, Issue , 2002, Pages 1229-1234

The application of a reinforcement learning agent to a multi-product manufacturing facility

Author keywords

Discrete event simulation; Economic lot size problem; Reinforcement learning; Schedule optimisation

Indexed keywords

DISCRETE EVENT SIMULATION; INVENTORY CONTROL; ROBOTICS; SCHEDULING; STOCHASTIC SYSTEMS;

EID: 14944348455     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2002.1189350     Document Type: Conference Paper
Times cited : (12)

References (17)
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  • 4
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  • 6
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    • Adaptive agents and artificial life: Insights for the power industry
    • eds. Sinha, N. K.., and M. G. Madan, San Diego: Academic Press
    • Harp, S. A., and T. Samad, Adaptive agents and artificial life: Insights for the power industry, Soft Computing and Intelligent Systems: Theory and Applications, eds. Sinha, N. K.., and M. G. Madan, San Diego: Academic Press, 2000.
    • (2000) Soft Computing and Intelligent Systems: Theory and Applications
    • Harp, S.A.1    Samad, T.2
  • 7
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    • On the general feasibility of scheduling lot sizes of several products on one machine
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    • Hsu, W.L.1
  • 8
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    • Jeong, K.1
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    • Average reward reinforcement learning: Foundations, algorithms, and empirical results
    • Mahadevan, S., Average reward reinforcement learning: foundations, algorithms, and empirical results, Machine Learning, 1996, 22(1): pp. 159-195.
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    • Mahadevan, S.1
  • 13
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    • Intelligent dynamic control policies for serial production lines
    • Paternina-Arboleda, C. D., and T. K. Das, Intelligent dynamic control policies for serial production lines, HE Transactions, 2001, 33: pp. 65-77.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.