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Volumn , Issue , 2009, Pages 1492-1502

A Monte Carlo knowledge gradient method for learning abatement potential of emissions reduction technologies

Author keywords

[No Author keywords available]

Indexed keywords

EMISSIONS-REDUCTION TECHNOLOGY; EXPERIMENTAL EVIDENCE; FIELD IMPLEMENTATION; LEARNING POLICY; LEARNING PROBLEM; LOOK-AHEAD; MONTE CARLO; MONTE CARLO SAMPLING; ONLINE LEARNING; OPTIMAL PORTFOLIOS;

EID: 77951568757     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2009.5429301     Document Type: Conference Paper
Times cited : (10)

References (20)
  • 1
    • 0036568025 scopus 로고    scopus 로고
    • Finite-time analysis of the multiarmed bandit problem
    • DOI 10.1023/A:1013689704352, Computational Learning Theory
    • Auer, P., N. Cesa-Bianchi, and P. Fischer. 2002. Finite-time analysis of the multiarmed bandit problem. Machine Learning 47:235-256. (Pubitemid 34126111)
    • (2002) Machine Learning , vol.47 , Issue.2-3 , pp. 235-256
    • Auer, P.1    Cesa-Bianchi, N.2    Fischer, P.3
  • 2
    • 77949359798 scopus 로고    scopus 로고
    • Sequential sampling to myopically maximize the expected value of information
    • Submitted to
    • Chick, S., J. Branke, and C. Schmidt. 2009. Sequential sampling to myopically maximize the expected value of information. Submitted to INFORMS J. on Computing.
    • (2009) INFORMS J. on Computing
    • Chick, S.1    Branke, J.2    Schmidt, C.3
  • 5
    • 55549135706 scopus 로고    scopus 로고
    • A knowledge gradient policy for sequential information collection
    • Frazier, P., W. Powell, and S. Dayanik. 2008. A knowledge gradient policy for sequential information collection. SIAM Journal on Control and Optimization 47 (5): 2410-2439.
    • (2008) SIAM Journal on Control and Optimization , vol.47 , Issue.5 , pp. 2410-2439
    • Frazier, P.1    Powell, W.2    Dayanik, S.3
  • 8
    • 0002955623 scopus 로고
    • A dynamic allocation index for the sequential design of experiments
    • ed. J. Gani
    • Gittins, J. C., and D. M. Jones. 1974. A dynamic allocation index for the sequential design of experiments. In Progress in Statistics, ed. J. Gani, 241-266.
    • (1974) Progress in Statistics , pp. 241-266
    • Gittins, J.C.1    Jones, D.M.2
  • 9
    • 0000511415 scopus 로고
    • Bayesian look ahead one stage sampling allocations for selecting the largest normal mean
    • Gupta, S., and K. Miescke. 1994. Bayesian look ahead one stage sampling allocations for selecting the largest normal mean. Statistical Papers 35:169-177.
    • (1994) Statistical Papers , vol.35 , pp. 169-177
    • Gupta, S.1    Miescke, K.2
  • 10
    • 0030590294 scopus 로고    scopus 로고
    • Bayesian look ahead one-stage sampling allocations for selection of the best population
    • DOI 10.1016/0378-3758(95)00169-7
    • Gupta, S., and K. Miescke. 1996. Bayesian look ahead one-stage sampling allocations for selection of the best population. Journal of statistical planning and inference 54 (2): 229-244. (Pubitemid 126161097)
    • (1996) Journal of Statistical Planning and Inference , vol.54 , Issue.2 , pp. 229-244
    • Gupta, S.S.1    Miescke, K.J.2
  • 13
    • 0002899547 scopus 로고
    • Asymptotically efficient adaptive allocation rules
    • Lai, T. L., and H. Robbins. 1985. Asymptotically efficient adaptive allocation rules. Advances in Applied Mathematics 6:4-22.
    • (1985) Advances in Applied Mathematics , vol.6 , pp. 4-22
    • Lai, T.L.1    Robbins, H.2
  • 14
    • 46949087081 scopus 로고    scopus 로고
    • McKinsey & Company U.S. Greenhouse Gas Abatement Mapping Initiative, Executive Report
    • McKinsey & Company 2007. Reducing U.S. Greenhouse Gas Emissions: How Much at What Cost? U.S. Greenhouse Gas Abatement Mapping Initiative, Executive Report.
    • (2007) Reducing U.S. Greenhouse Gas Emissions: How Much at What Cost?
  • 20
    • 67650362301 scopus 로고    scopus 로고
    • Some results on the Gittins index for a normal reward process
    • ed. H. Ho, C. Ing, and T. Lai, Institute of Mathematical Statistics, Beachwood, OH, USA
    • Yao, Y. 2006. Some results on the Gittins index for a normal reward process. In Time Series and Related Topics: In Memory of Ching-Zong Wei, ed. H. Ho, C. Ing, and T. Lai, 284-294. Institute of Mathematical Statistics, Beachwood, OH, USA.
    • (2006) Time Series and Related Topics: in Memory of Ching-Zong Wei , pp. 284-294
    • Yao, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.