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Volumn 2006, Issue , 2006, Pages 945-952

Probabilistic inference for solving discrete and continuous state Markov Decision Processes

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY; FINITE DIFFERENCE METHOD; FUNCTION EVALUATION; MARKOV PROCESSES; PROBLEM SOLVING;

EID: 33749234798     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (108)

References (13)
  • 10
    • 0013288412 scopus 로고    scopus 로고
    • PhD Thesis, UC Berkeley, Computer Science Division. See particularly the chapter on DBN
    • Murphy, K. (2002). Dynamic bayesian networks: Representation, inference and learning. PhD Thesis, UC Berkeley, Computer Science Division. See particularly the chapter on DBN at http://www.cs.ubc.ca/murphyk/Papers/dbnchapter.pdf.
    • (2002) Dynamic Bayesian Networks: Representation, Inference and Learning
    • Murphy, K.1
  • 13
    • 33749254541 scopus 로고    scopus 로고
    • Goal-based imitation as probabilistic inference over graphical models
    • NIPS 2005
    • Verma, D., & Rao, R. P. N. (2006). Goal-based imitation as probabilistic inference over graphical models. Advances in Neural Information Processing Systems 18 (NIPS 2005).
    • (2006) Advances in Neural Information Processing Systems , vol.18
    • Verma, D.1    Rao, R.P.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.