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Volumn 4, Issue , 2003, Pages 2916-2921

Dynamic Pricing and Reinforcement Learning

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MONTE CARLO METHODS; OPTIMIZATION; PARAMETER ESTIMATION; SALES; STOCHASTIC PROGRAMMING;

EID: 0141815596     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (12)
  • 1
    • 1642565169 scopus 로고
    • Reinforcement Learning with Modular Neural Networks for Control
    • the IEEE International Workshop on Neural Networks Applied to Control and Image Processing
    • C. Andersen and Z. Hong, Reinforcement Learning with Modular Neural Networks for Control. Proceedings of NNACIP'94, the IEEE International Workshop on Neural Networks Applied to Control and Image Processing, 1994.
    • (1994) Proceedings of NNACIP'94
    • Andersen, C.1    Hong, Z.2
  • 2
    • 0141852645 scopus 로고    scopus 로고
    • Pricing of Short Life-Cycle Products through Active Learning
    • Olin School of Business, Washington University
    • Y. Aviv and A. Pazgal, Pricing of Short Life-Cycle Products through Active Learning, Technical Report, Olin School of Business, Washington University, 2002.
    • (2002) Technical Report
    • Aviv, Y.1    Pazgal, A.2
  • 3
    • 0141741040 scopus 로고    scopus 로고
    • A Partially Observed Markov Decision Process for Dynamic Pricing
    • Olin School of Business, Washington University
    • Y. Aviv and A. Pazgal, A Partially Observed Markov Decision Process for Dynamic Pricing, Technical Report, Olin School of Business, Washington University, 2002.
    • (2002) Technical Report
    • Aviv, Y.1    Pazgal, A.2
  • 4
    • 0000621907 scopus 로고
    • Actively Learning about Demand and the Dynamics of Price Adjustment
    • R. Balvers and T. Cosimano, Actively Learning about Demand and the Dynamics of Price Adjustment, The Economic Journal, 1990.
    • (1990) The Economic Journal
    • Balvers, R.1    Cosimano, T.2
  • 5
    • 0141741039 scopus 로고    scopus 로고
    • Revenue Maximization in a Stochastic Environment
    • Stanford University
    • E. Cope, Revenue Maximization in a Stochastic Environment, Technical Report, Stanford University, 2002.
    • (2002) Technical Report
    • Cope, E.1
  • 6
    • 1942514242 scopus 로고    scopus 로고
    • Batch Value Function Approximation via Support Vectors
    • Forthcoming in Dietterich, T. G., Becker, S., Ghahramani, Z. (Eds.), Cambridge, MA: MIT Press
    • T. Dietterich and X. Wang, Batch Value Function Approximation via Support Vectors, Forthcoming in Dietterich, T. G., Becker, S., Ghahramani, Z. (Eds.) Advances in Neural Information Processing Systems 14, Cambridge, MA: MIT Press, 2003.
    • (2003) Advances in Neural Information Processing Systems , vol.14
    • Dietterich, T.1    Wang, X.2
  • 10
    • 0030305926 scopus 로고    scopus 로고
    • Pricing Decisions Under Demand Uncertainty: A Bayesian Mixture Model Approach
    • K. Kalyanam, Pricing Decisions Under Demand Uncertainty: A Bayesian Mixture Model Approach, Marketing Science, 1996.
    • (1996) Marketing Science
    • Kalyanam, K.1
  • 12
    • 0031143730 scopus 로고    scopus 로고
    • An Analysis of Temporal-Difference Learning with Function Approximation
    • J. Tsitsiklis, An Analysis of Temporal-Difference Learning with Function Approximation, IEEE Transactions on Automatic Control, 1997.
    • (1997) IEEE Transactions on Automatic Control
    • Tsitsiklis, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.