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Volumn 2, Issue , 2005, Pages 975-980

Efficient maximization in solving POMDPs

Author keywords

[No Author keywords available]

Indexed keywords

BELIEF SPACE; LINEAR PROGRAMS; POMDPS; VECTOR PRUNING;

EID: 29344456775     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (12)
  • 6
    • 0003596835 scopus 로고    scopus 로고
    • Efficient dynamic-programming updates in partially observable markov decision processes
    • Brown University, Providence, RI
    • Littman, M.; Cassandra, A.; and Kaelbling, L. 1996. Efficient dynamic-programming updates in partially observable markov decision processes. Technical Report CS-95-19, Brown University, Providence, RI.
    • (1996) Technical Report , vol.CS-95-19
    • Littman, M.1    Cassandra, A.2    Kaelbling, L.3
  • 7
    • 0008038484 scopus 로고
    • The witness algorithm: Solving partially observable markov decision processes
    • Computer Science, Brown University
    • Littman, M. 1994. The witness algorithm: Solving partially observable markov decision processes. Technical Report CS-94-40, Computer Science, Brown University.
    • (1994) Technical Report , vol.CS-94-40
    • Littman, M.1
  • 8
    • 0015658957 scopus 로고
    • The optimal control of partially observable Markov processes over a finite horizon
    • Smallwood, R., and Sondik, E. 1973. The optimal control of partially observable Markov processes over a finite horizon. Operations Research 21:1071-1088.
    • (1973) Operations Research , vol.21 , pp. 1071-1088
    • Smallwood, R.1    Sondik, E.2
  • 9
    • 34249925148 scopus 로고
    • A survey of solution techniques for the partially observed markov decision process
    • White, C. 1991. A survey of solution techniques for the partially observed markov decision process. Annals of Operations Research 32:215-230.
    • (1991) Annals of Operations Research , vol.32 , pp. 215-230
    • White, C.1
  • 10
    • 0010810245 scopus 로고    scopus 로고
    • Planning in stochastic domains: Problem characteristics and approximation
    • Hong Kong University of Science and Technology
    • Zhang, N. L., and Liu, W. 1996. Planning in stochastic domains: Problem characteristics and approximation. Technical Report HKUST-CS96-31, Hong Kong University of Science and Technology.
    • (1996) Technical Report , vol.HKUST-CS96-31
    • Zhang, N.L.1    Liu, W.2
  • 11
    • 0036374229 scopus 로고    scopus 로고
    • Speeding up the convergence of value iteration in partially observable markov decision processes
    • Zhang, N., and Zhang, W. 2001. Speeding up the convergence of value iteration in partially observable markov decision processes. Journal of AI Research 14:29-51.
    • (2001) Journal of AI Research , vol.14 , pp. 29-51
    • Zhang, N.1    Zhang, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.