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Volumn 215, Issue , 2010, Pages 973-974

Learning action effects in partially observable domains

Author keywords

[No Author keywords available]

Indexed keywords

ACTION EFFECT; LEARNING ACTIONS; LEARNING MECHANISM; LEARNING MODELS; PERCEPTRON LEARNING; PLANNING DOMAINS; STATE INFORMATION; STATES CHANGE; STRIPS PLANNING; VECTOR REPRESENTATIONS;

EID: 77956019023     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-60750-606-5-973     Document Type: Conference Paper
Times cited : (7)

References (15)
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  • 2
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  • 4
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  • 5
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    • Large margin classification using the perceptron algorithm
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    • Freund, Y.1    Schapire, R.2
  • 7
    • 84898997759 scopus 로고    scopus 로고
    • Schema learning: Experience-based construction of predictive action models
    • M. Holmes and C. Isbell, 'Schema learning: Experience-based construction of predictive action models', in NIPS 17, pp. 585-1562, (2005).
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  • 8
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  • 10
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    • Modayil, J.1    Kuipers, B.2
  • 11
    • 72949101928 scopus 로고    scopus 로고
    • Using kernel perceptrons to learn action effects for planning
    • K. Mourão, R. Petrick, and M. Steedman, 'Using kernel perceptrons to learn action effects for planning', in Proc. of CogSys, pp. 45-50, (2008).
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  • 12
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  • 13
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  • 14
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.