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Volumn 2006, Issue , 2006, Pages 1631-1636

Dynamic action spaces for information gain maximization in search and exploration

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; MOBILE AGENTS; MOTION PLANNING; ONLINE SEARCHING; OPTIMIZATION; PROBABILITY DISTRIBUTIONS;

EID: 34047229191     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (18)
  • 1
    • 0003871607 scopus 로고
    • The optimal control of partially observable Markov decision processes,
    • Ph.D. dissertation, Stanford University, Stanford, California
    • E. Sondik, "The optimal control of partially observable Markov decision processes," Ph.D. dissertation, Stanford University, Stanford, California, 1971.
    • (1971)
    • Sondik, E.1
  • 3
    • 85024429815 scopus 로고    scopus 로고
    • R. E. Kalman, A new approach to linear filtering and prediction problems, Transactions of the ASME-Journal of Basic Engineering, 82, no. Series D, pp. 35-45, 1960.
    • R. E. Kalman, "A new approach to linear filtering and prediction problems," Transactions of the ASME-Journal of Basic Engineering, vol. 82, no. Series D, pp. 35-45, 1960.
  • 4
    • 0003174553 scopus 로고
    • Bayesian statistics without tears: A sampling-resampling perspective
    • A. Smith and A. Gelfand, "Bayesian statistics without tears: a sampling-resampling perspective," American Statistician, vol. 46, pp. 84-88, 1992.
    • (1992) American Statistician , vol.46 , pp. 84-88
    • Smith, A.1    Gelfand, A.2
  • 5
    • 0004087397 scopus 로고
    • Probabilistic inference using markov chain monte carlo methods
    • Dept. of Computer Science, University of Toronto, Tech. Rep. CRG-TR-93-1
    • R. Neal, "Probabilistic inference using markov chain monte carlo methods," Dept. of Computer Science, University of Toronto, Tech. Rep. CRG-TR-93-1, 1993.
    • (1993)
    • Neal, R.1
  • 6
    • 0000695404 scopus 로고
    • Information-based objective functions for active data selection
    • D. MacKay, "Information-based objective functions for active data selection." Neural Computation, vol. 4, no. 4, pp. 590-604, 1992.
    • (1992) Neural Computation , vol.4 , Issue.4 , pp. 590-604
    • MacKay, D.1
  • 8
    • 0032073263 scopus 로고    scopus 로고
    • Planning and acting in partially observable stochastic domains
    • L. P. Kaelbling, M. L. Littman, and A. R. Cassandra, "Planning and acting in partially observable stochastic domains," Artificial Intelligence, vol. 101, pp. 99-134, 1998.
    • (1998) Artificial Intelligence , vol.101 , pp. 99-134
    • Kaelbling, L.P.1    Littman, M.L.2    Cassandra, A.R.3
  • 9
    • 0003861655 scopus 로고    scopus 로고
    • Algorithms for sequential decision making,
    • Ph.D. dissertation, Brown University, Providence, RI, March
    • M. L. Littman, "Algorithms for sequential decision making," Ph.D. dissertation, Brown University, Providence, RI, March 1996.
    • (1996)
    • Littman, M.L.1
  • 12
    • 0003818801 scopus 로고
    • Algorithms for partially observable Markov decision processes,
    • Ph.D. dissertation, University of British Columbia
    • H.-T. Cheng, "Algorithms for partially observable Markov decision processes," Ph.D. dissertation, University of British Columbia, 1988.
    • (1988)
    • Cheng, H.-T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.