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Volumn 2, Issue , 1995, Pages 1121-1127

Decomposition Techniques for Planning in Stochastic Domains

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; LEARNING ALGORITHMS; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

EID: 85168151397     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (73)

References (26)
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    • [Bellman 196l] (ontrol Processes Princeton University Press Princeton New Jersey
    • [Bellman 196l] Richard Bellman Adaptivt ( ontrol Processes Princeton University Press Princeton New Jersey, 1961
    • (1961)
    • Adaptivt, Richard Bellman1
  • 2
    • 85168111039 scopus 로고
    • Craig Boutiher Richard Dearden and Moises Goldszmidt Exploiting structure in policy construction
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    • [Boutiher et al , 1995] Craig Boutiher Richard Dearden and Moises Goldszmidt Exploiting structure in policy construction In Procecdings of the 1995 Inter national Joint Conference on Artificial Intelligence, 1995
    • (1995) Procecdings of the 1995 Inter national Joint Conference on Artificial Intelligence
  • 3
    • 85168161759 scopus 로고
    • aines and Wang 1990] Peter E ( aines and S Wang (OCOLOG A conditional observer and controller logic for finite machines
    • [( aines and Wang 1990] Peter E ( aines and S Wang (OCOLOG A conditional observer and controller logic for finite machines In Proceedings of tht 29th IEEE Conference on Decision and Control Hawaii 1990
    • (1990) Proceedings of tht 29th IEEE Conference on Decision and Control Hawaii
  • 5
    • 85168107668 scopus 로고
    • Danlzig and Wolfe, 1960] George Dantzig and Philip Wolfe Decomposition principle for dynamic programs
    • 101 111
    • [Danlzig and Wolfe, 1960] George Dantzig and Philip Wolfe Decomposition principle for dynamic programs Operations Research 8(l) 101 111,1900
    • (1900) Operations Research , vol.8
  • 6
    • 85168136329 scopus 로고
    • Thomas Dean and Keiji Kanazawa A model for reasoning about persistnce and causation
    • [E)ean and Kanazawa, 1989]
    • [E)ean and Kanazawa, 1989] Thomas Dean and Keiji Kanazawa A model for reasoning about persistnce and causation Computational Intelliquence, 5(3) 112- 150 1989
    • (1989) Computational Intelliquence , vol.5 , Issue.3 , pp. 112-150
  • 8
    • 0027708037 scopus 로고
    • Planning with deadlines in stochastic domains
    • [Dean et al 1993] pages 574 579 AAAI
    • [Dean et al , 1993] Thomas Dean, Leslie Kaelbling, lak Rinnan, and Ann Nicholson Planning with deadlines in stochastic domains In Proceedings AAAI 93 pages 574 579 AAAI 1993
    • (1993) Proceedings AAAI , vol.93
    • Dean, Thomas1    Kaelbling, Leslie2    Rinnan, lak3    Nicholson, Ann4
  • 10
    • 0006464452 scopus 로고
    • F D'Epenoux Sur un probleme de production et de stockage dans 1 aleatoire
    • [D'Epenoux, 1963]
    • [D'Epenoux, 1963] F D'Epenoux Sur un probleme de production et de stockage dans 1 aleatoire Management Science, 10 98-108, 1963
    • (1963) Management Science , vol.10 , pp. 98-108
  • 12
    • 2842560201 scopus 로고
    • A new approach to the application of theorem proving to problem solving
    • [Fikes and Nilsson 1971]
    • [Fikes and Nilsson 1971] Richard Fikes and Nils J Nilsson Strip* A new approach to the application of theorem proving to problem solving Artificial Intdligenct, 2 189-208, 1971
    • (1971) Artificial Intdligenct , vol.2 , pp. 189-208
    • Fikes, Richard1    Nilsson Strip, Nils J2
  • 14
    • 85168159651 scopus 로고
    • Leslie Park Kaelbhng Hierarchical learning in stochastic domains A preliminary report
    • [Kaelbhng, 1993]
    • [Kaelbhng, 1993] Leslie Park Kaelbhng Hierarchical learning in stochastic domains A preliminary report In Proceedings Tenth International C onftrtnce on Ma chme Learning, 1993
    • (1993) Proceedings Tenth International C onftrtnce on Ma chme Learning
  • 16
    • 85168105860 scopus 로고
    • Macro-operators \ weak method for learning
    • [Korf, 1985]
    • [Korf, 1985] Richard Korf Macro-operators \ weak method for learning Artificial InUlligtnet 26 35 77 1985
    • (1985) Artificial InUlligtnet , vol.26 , Issue.35 77
    • Korf, Richard1
  • 18
    • 1942437630 scopus 로고
    • H 1 Kushner and A ) Kleinman Mathematical programming and the ton trul of Markov chains
    • [Kushner and Kleinman, 1971]
    • [Kushner and Kleinman, 1971] H 1 Kushner and A ) Kleinman Mathematical programming and the ton trul of Markov chains International Journal on Con trot 13(5) 801-820, 1971
    • (1971) International Journal on Con trot , vol.13 , Issue.5 , pp. 801-820
  • 23
    • 0000977910 scopus 로고
    • The complexily of Markov chain decision processes
    • [Papadnnitriou and Tsitsikhs 1987]
    • [Papadnnitriou and Tsitsikhs 1987] C hnstos H Papadimitnou and John N Isltsiklis The complexily of Markov chain decision processes Mathematu of Opt rations Research 12(3)441-40 1987
    • (1987) Mathematu of Opt rations Research , vol.12 , Issue.3 , pp. 441-40
    • hnstos, C1    Papadimitnou, H2    Isltsiklis, John N3
  • 25
    • 0001301042 scopus 로고
    • Earl Sacerdoti Planning in a hierarchy of abstraction spaces
    • [Sacerdoh, 1974]
    • [Sacerdoh, 1974] Earl Sacerdoti Planning in a hierarchy of abstraction spaces Artificial Intethqence 7 231- 272 1974
    • (1974) Artificial Intethqence , vol.7 , pp. 231-272
  • 26
    • 0025508216 scopus 로고
    • On the consistency of hierarchical supervision in discrele-event systems
    • [Zhong and Wonharn, 1990]
    • [Zhong and Wonharn, 1990] H Zhong and W M Wonham On the consistency of hierarchical supervision in discrele-event systems IEEE Transactions on 4u tomatic Control, 35(10) 1125-11 14, 1990
    • (1990) IEEE Transactions on 4u tomatic Control , vol.35 , Issue.10 , pp. 1125-1114
    • Zhong, H1    Wonham, W M2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.