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Volumn , Issue , 2001, Pages

APRICODD: Approximate policy construction using decision diagrams

Author keywords

[No Author keywords available]

Indexed keywords

ALGEBRA; MARKOV PROCESSES; OPTIMAL SYSTEMS;

EID: 84898974117     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (12)
  • 2
    • 0012352653 scopus 로고    scopus 로고
    • Approximating value trees in structured dynamic programming
    • Bari, Italy
    • Craig Boutilier and Richard Dearden. Approximating value trees in structured dynamic programming. In Proceedings ICML-96, Bari, Italy, 1996.
    • (1996) Proceedings ICML-96
    • Boutilier, C.1    Dearden, R.2
  • 4
    • 0022769976 scopus 로고
    • Graph-based algorithms for Boolean function manipulation
    • Randal E. Bryant. Graph-based algorithms for boolean function manipulation. IEEE Transactions on Computers, C-35(8):677-691, 1986.
    • (1986) IEEE Transactions on Computers , vol.C-35 , Issue.8 , pp. 677-691
    • Bryant, R.E.1
  • 5
    • 19244370184 scopus 로고
    • Spectral transforms for large Boolean functions with applications to technology mapping
    • ACM/IEEE
    • E. M. Clarke, K. L. McMillan, X. Zhao, M. Fujita, and J. Yang. Spectral transforms for large boolean functions with applications to technology mapping. In DAC, 54-60. ACM/IEEE, 1993.
    • (1993) DAC , pp. 54-60
    • Clarke, E.M.1    McMillan, K.L.2    Zhao, X.3    Fujita, M.4    Yang, J.5
  • 6
    • 84990553353 scopus 로고
    • A model for reasoning about persistence and causation
    • Thomas Dean and Keiji Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5(3):142-150, 1989.
    • (1989) Computational Intelligence , vol.5 , Issue.3 , pp. 142-150
    • Dean, T.1    Kanazawa, K.2
  • 7
    • 0030697013 scopus 로고    scopus 로고
    • Abstraction and approximate decision theoretic planning
    • Richard Dearden and Craig Boutilier. Abstraction and approximate decision theoretic planning. Artificial Intelligence, 89:219-283, 1997.
    • (1997) Artificial Intelligence , vol.89 , pp. 219-283
    • Dearden, R.1    Boutilier, C.2
  • 11
    • 0028497385 scopus 로고
    • An upper bound on the loss from approximate optimal-value function
    • Satinder P. Singh and Richard C. Yee. An upper bound on the loss from approximate optimal-value function. Machine Learning, 16:227-233, 1994.
    • (1994) Machine Learning , vol.16 , pp. 227-233
    • Singh, S.P.1    Yee, R.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.