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Volumn , Issue , 2007, Pages 2542-2549

Hierarchical heuristic forward search in stochastic domains

Author keywords

[No Author keywords available]

Indexed keywords

HEURISTIC SEARCH; HIERARCHICAL APPROACH; HIERARCHICAL MODEL; HIERARCHICAL STRUCTURES; OPTIMAL POLICIES; PERFORMANCE IMPROVEMENTS; SEARCH ALGORITHMS; STOCHASTIC DOMAINS;

EID: 57849131121     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (12)
  • 3
    • 0029210635 scopus 로고
    • Learning to Act using Real-Time Dynamic Programming
    • Barto, A.G.; Bradtke, S.J.; and Singh, S.P. 1995. Learning to Act using Real-Time Dynamic Programming. Artificial Intelligence 672(1-2):81-138.
    • (1995) Artificial Intelligence , vol.672 , Issue.1-2 , pp. 81-138
    • Barto, A.G.1    Bradtke, S.J.2    Singh, S.P.3
  • 6
    • 84990553353 scopus 로고
    • A Model for Reasoning about Persistence and Causation
    • Dean, T.; and Kanazawa, K. 1993. A Model for Reasoning about Persistence and Causation. Computational Intelligence 5(3):142-150.
    • (1993) Computational Intelligence , vol.5 , Issue.3 , pp. 142-150
    • Dean, T.1    Kanazawa, K.2
  • 7
    • 0028400910 scopus 로고
    • Modeling a Dynamic and Uncerain World I: Symbolic Probabilistic Reasoning about Change
    • Hanks, S.; and McDermott, D.V. 1994. Modeling a Dynamic and Uncerain World I: Symbolic Probabilistic Reasoning about Change. Artificial Intelligence 66(1):1-55.
    • (1994) Artificial Intelligence , vol.66 , Issue.1 , pp. 1-55
    • Hanks, S.1    McDermott, D.V.2
  • 8
    • 0035369425 scopus 로고    scopus 로고
    • LAO*: A heuristic search algorithm that finds solutions with loops
    • DOI 10.1016/S0004-3702(01)00106-0, PII S0004370201001060
    • Hansen, E.A.; and Zilberstein, S. 2001. LAO*: A Heuristic Search Algorithm that Finds Solutions with Loops. Artificial Intelligence 129(1-2):35-62. (Pubitemid 32498415)
    • (2001) Artificial Intelligence , vol.129 , Issue.1-2 , pp. 35-62
    • Hansen, E.A.1    Zilberstein, S.2
  • 12
    • 0033170372 scopus 로고    scopus 로고
    • Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
    • Sutton, R.S.; Precup, D.; and Singh, S.P. 1999. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning. Artificial Intelligence 112(1-2):181-211.
    • (1999) Artificial Intelligence , vol.112 , Issue.1-2 , pp. 181-211
    • Sutton, R.S.1    Precup, D.2    Singh, S.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.