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Volumn , Issue , 2006, Pages 670-675

A new reinforcement learning for group-based marshaling plan considering desired layout of containers in port terminals

Author keywords

Binary tree; Block stacking problem; Container marshaling; Q learning; Reinforcement learning

Indexed keywords

ALGORITHMS; BINARY TREES; COMPUTER SIMULATION; FREIGHT TRANSPORTATION; PORTS AND HARBORS; PROBLEM SOLVING;

EID: 34250181383     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (8)
  • 1
    • 0025857796 scopus 로고
    • Using simulation to study the impact of work rules on productivity at marine container terminals
    • M. B. Siberholz, B. L. Golden, and K. Baker, "Using simulation to study the impact of work rules on productivity at marine container terminals," Computers Oper. Res., vol. 18, no. 5, pp. 433-452, 1991.
    • (1991) Computers Oper. Res , vol.18 , Issue.5 , pp. 433-452
    • Siberholz, M.B.1    Golden, B.L.2    Baker, K.3
  • 3
    • 0031117514 scopus 로고    scopus 로고
    • An approach to the block stacking problem by multi agent cooperation
    • 63, in Japanese
    • M. Minagawa and Y. Kakazu, "An approach to the block stacking problem by multi agent cooperation," JSME Series C, vol. 63, no. 608, pp. 231-240, (in Japanese), 1997.
    • (1997) JSME Series , vol.100 , Issue.608 , pp. 231-240
    • Minagawa, M.1    Kakazu, Y.2
  • 5
    • 0004049893 scopus 로고
    • Learning from delayed rewards,
    • Ph.D. Thesis, Cambridge University, Cambridge, England
    • C. J. C. Watkins, "Learning from delayed rewards," Ph.D. Thesis, Cambridge University, Cambridge, England, 1989.
    • (1989)
    • Watkins, C.J.C.1
  • 6
    • 0032652172 scopus 로고    scopus 로고
    • Toward a model of intelligence as an economy of agents
    • E. B. Baum, "Toward a model of intelligence as an economy of agents," Machine Learning, vol. 35, pp. 155-185, 1999.
    • (1999) Machine Learning , vol.35 , pp. 155-185
    • Baum, E.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.