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Volumn 34, Issue 9, 2002, Pages 729-742

A reinforcement learning approach to a single leg airline revenue management problem with multiple fare classes and overbooking

Author keywords

[No Author keywords available]

Indexed keywords

AIR TRANSPORTATION; COMPUTER SIMULATION; DECISION THEORY; DYNAMIC PROGRAMMING; LEARNING ALGORITHMS; LOGISTICS; MARKOV PROCESSES; MATHEMATICAL MODELS; OPERATIONS RESEARCH; RESERVATION SYSTEMS; SENSITIVITY ANALYSIS; STATE SPACE METHODS;

EID: 0036722536     PISSN: 0740817X     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1015583703449     Document Type: Article
Times cited : (91)

References (34)
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  • 2
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    • An algorithm for solving semi-Markov decision problems using reinforcement learning: Convergence analysis and numerical results
    • PhD thesis, University of South Florida, Tampa, FL
    • (1999)
    • Gosavi, A.1
  • 23
    • 0000079043 scopus 로고
    • Optimal and approximate control policies for airline booking with sequential nonmonotonic fare classes
    • (1995) Operations Research , vol.43 , pp. 252-263
    • Robinson, L.W.1
  • 24
    • 0010629975 scopus 로고    scopus 로고
    • Stochastic programming by Monte Carlo methods
    • Preprint, Georgia Institute of Technology, Atlanta, GA
    • (2000)
    • Shapiro, A.1
  • 32
    • 0004049893 scopus 로고
    • Learning from delayed rewards
    • PhD thesis, Kings College, Cambridge, UK
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    • Watkins, C.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.