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Volumn 2, Issue , 2006, Pages 1161-1166

Learning basis functions in hybrid domains

Author keywords

[No Author keywords available]

Indexed keywords

HYBRID APPROXIMATE LINEAR PROGRAMMING (HALF); MARKOV DECISION PROCESSES (MDP); OPTIMIZATION PROBLEMS; PARAMETRIC BASIS FUNCTION MODELS;

EID: 33750595113     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (16)
  • 1
    • 84968468700 scopus 로고
    • Polynomial approximation - A new computational technique in dynamic programming: Allocation processes
    • Bellman, R.; Kalaba, R.; and Kotkin, B. 1963. Polynomial approximation - a new computational technique in dynamic programming: Allocation processes. Mathematics of Computation 17(82):155-161.
    • (1963) Mathematics of Computation , vol.17 , Issue.82 , pp. 155-161
    • Bellman, R.1    Kalaba, R.2    Kotkin, B.3
  • 2
    • 0003787146 scopus 로고
    • Princeton, NJ: Princeton University Press
    • Bellman, R. 1957. Dynamic Programming. Princeton, NJ: Princeton University Press.
    • (1957) Dynamic Programming
    • Bellman, R.1
  • 5
    • 0348090400 scopus 로고    scopus 로고
    • The linear programming approach to approximate dynamic programming
    • de Fanas, D. P., and Van Roy, B. 2003. The linear programming approach to approximate dynamic programming. Operations Research 51(6):850-856.
    • (2003) Operations Research , vol.51 , Issue.6 , pp. 850-856
    • De Fanas, D.P.1    Van Roy, B.2
  • 7
    • 84898970468 scopus 로고    scopus 로고
    • Linear program approximations for factored continuous-state Markov decision processes
    • Hauskrecht, M., and Kveton, B. 2004. Linear program approximations for factored continuous-state Markov decision processes. In Advances in Neural Information Processing Systems 16, 895-902.
    • (2004) Advances in Neural Information Processing Systems , vol.16 , pp. 895-902
    • Hauskrecht, M.1    Kveton, B.2
  • 11
    • 77957901577 scopus 로고    scopus 로고
    • Value function approximation with diffusion wavelets and Laplacian eigenfunctions
    • Mahadevan, S., and Maggioni, M. 2006. Value function approximation with diffusion wavelets and Laplacian eigenfunctions. In Advances in Neural Information Processing Systems 18, 843-850.
    • (2006) Advances in Neural Information Processing Systems , vol.18 , pp. 843-850
    • Mahadevan, S.1    Maggioni, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.