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Volumn , Issue , 2011, Pages 1928-1935

DetH*: Approximate hierarchical solution of large markov decision processes

Author keywords

[No Author keywords available]

Indexed keywords

CONNECTIVITY PROPERTIES; HIERARCHICAL MODEL; LARGE DOMAIN; MARKOV DECISION PROCESSES; OPTIMAL POLICIES; RUNNING TIME; RUNTIMES;

EID: 84863839050     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5591/978-1-57735-516-8/IJCAI11-323     Document Type: Conference Paper
Times cited : (29)

References (12)
  • 7
    • 0001806701 scopus 로고    scopus 로고
    • The MAXQ Method for Hierarchical Reinforcement Learning
    • San Francisco
    • Thomas G. Dietterich. The MAXQ Method for Hierarchical Reinforcement Learning. In ICML, pages 118-126, San Francisco, 1998.
    • (1998) ICML , pp. 118-126
    • Dietterich, T.G.1
  • 9
    • 56449130136 scopus 로고    scopus 로고
    • Automatic Discovery and Transfer of MAXQ Hierarchies
    • Helinski, Finland
    • Neville Mehta, Soumya Ray, Prasad Tadepalli, and Thomas Dietterich. Automatic Discovery and Transfer of MAXQ Hierarchies. In ICML-08, Helinski, Finland, 2008.
    • (2008) ICML-08
    • Mehta, N.1    Ray, S.2    Tadepalli, P.3    Dietterich, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.