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Volumn 3625, Issue , 2005, Pages 20-37

Guiding inference through relational reinforcement learning

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; CONSTRAINT THEORY; FORMAL LANGUAGES; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; RESEARCH; RESOURCE ALLOCATION;

EID: 26944452430     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11536314_2     Document Type: Conference Paper
Times cited : (15)

References (17)
  • 1
    • 0018544688 scopus 로고
    • A truth maintenance system
    • Doyle, J.: A truth maintenance system. Artificial Intelligence 12 (1979) 231-272
    • (1979) Artificial Intelligence , vol.12 , pp. 231-272
    • Doyle, J.1
  • 2
    • 0020177941 scopus 로고
    • Rete: A fast algorithm for the many pattern/many object pattern match problem
    • Forgy, C.L.: Rete: A fast algorithm for the many pattern/many object pattern match problem. Artificial Intelligence 19 (1982) 17-37
    • (1982) Artificial Intelligence , vol.19 , pp. 17-37
    • Forgy, C.L.1
  • 7
    • 0002278788 scopus 로고    scopus 로고
    • Hierarchical reinforcement learning with the MAXQ value function decomposition
    • Dietterich, T.G.: Hierarchical reinforcement learning with the MAXQ value function decomposition. Journal of Artificial Intelligence Research 13 (2000) 227-303
    • (2000) Journal of Artificial Intelligence Research , vol.13 , pp. 227-303
    • Dietterich, T.G.1
  • 11
    • 0039051843 scopus 로고
    • Reasoning about beliefs and actions under computational resource constraints
    • Horvitz, E.: Reasoning about beliefs and actions under computational resource constraints. Journal on Uncertainty in Artificial Intelligence 3 (1989) 301-324
    • (1989) Journal on Uncertainty in Artificial Intelligence , vol.3 , pp. 301-324
    • Horvitz, E.1
  • 14
    • 84990622495 scopus 로고
    • Quantitative results concerning the utility of explanation-based learning
    • Saint Paul, MN, AAAI Press
    • Minton, S.: Quantitative results concerning the utility of explanation-based learning. In: Proceedings of the Seventh National Conference on Artificial Intelligence, Saint Paul, MN, AAAI Press (1988) 564-569
    • (1988) Proceedings of the Seventh National Conference on Artificial Intelligence , pp. 564-569
    • Minton, S.1
  • 17
    • 0031208987 scopus 로고    scopus 로고
    • Explanation-based learning and reinforcement learning: A unified view
    • Dietterich, T.G., Flann, N.S.: Explanation-based learning and reinforcement learning: A unified view. Machine Learning 28 (1997) 169-210
    • (1997) Machine Learning , vol.28 , pp. 169-210
    • Dietterich, T.G.1    Flann, N.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.