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Volumn , Issue , 2011, Pages

Reinforcement learning using kernel-based stochastic factorization

Author keywords

[No Author keywords available]

Indexed keywords

FACTORIZATION; ITERATIVE METHODS; LEARNING ALGORITHMS; STOCHASTIC SYSTEMS;

EID: 85162341384     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (42)

References (21)
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    • Ormoneit, D.1    Sen, S.2
  • 2
    • 0036804005 scopus 로고    scopus 로고
    • Kernel-based reinforcement learning in average-cost problems
    • D. Ormoneit and P. Glynn. Kernel-based reinforcement learning in average-cost problems. IEEE Transactions on Automatic Control, 47(10):1624-1636, 2002.
    • (2002) IEEE Transactions on Automatic Control , vol.47 , Issue.10 , pp. 1624-1636
    • Ormoneit, D.1    Glynn, P.2
  • 7
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    • Nonnegative ranks, decompositions and factorizations of nonnegative matrices
    • J. E. Cohen and U. G. Rothblum. Nonnegative ranks, decompositions and factorizations of nonnegative matrices. Linear Algebra and its Applications, 190:149-168, 1991.
    • (1991) Linear Algebra and Its Applications , vol.190 , pp. 149-168
    • Cohen, J.E.1    Rothblum, U.G.2
  • 8
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    • Archetypal analysis
    • A. Cutler and L. Breiman. Archetypal analysis. Technometrics, 36(4):338-347, 1994.
    • (1994) Technometrics , vol.36 , Issue.4 , pp. 338-347
    • Cutler, A.1    Breiman, L.2
  • 9
    • 85162313597 scopus 로고    scopus 로고
    • Computing the stationary distribution of a finite Markov chain through stochastic factorization
    • In press
    • A. M. S. Barreto and M. D. Fragoso. Computing the stationary distribution of a finite Markov chain through stochastic factorization. SIAM Journal on Matrix Analysis and Applications. In press.
    • SIAM Journal on Matrix Analysis and Applications
    • Barreto, A.M.S.1    Fragoso, M.D.2
  • 11
    • 73249153369 scopus 로고    scopus 로고
    • On the complexity of nonnegative matrix factorization
    • S. A. Vavasis. On the complexity of nonnegative matrix factorization. SIAM Journal on Optimization, 20:1364-1377, 2009.
    • (2009) SIAM Journal on Optimization , vol.20 , pp. 1364-1377
    • Vavasis, S.A.1
  • 12
    • 0017997986 scopus 로고
    • Approximations of dynamic programs, i
    • W. Whitt. Approximations of dynamic programs, I. Mathematics of Operations Research, 3 (3):231-243, 1978.
    • (1978) Mathematics of Operations Research , vol.3 , Issue.3 , pp. 231-243
    • Whitt, W.1
  • 15
    • 85156221438 scopus 로고    scopus 로고
    • Generalization in reinforcement learning: Successful examples using sparse coarse coding
    • R. S. Sutton. Generalization in reinforcement learning: Successful examples using sparse coarse coding. In Advances in Neural Information Processing Systems, volume 8, pages 1038- 1044, 1996.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 1038-1044
    • Sutton, R.S.1
  • 20
    • 79957616613 scopus 로고    scopus 로고
    • Manifold embeddings for model-based reinforcement learning under partial observability
    • K. Bush and J. Pineau. Manifold embeddings for model-based reinforcement learning under partial observability. In Advances in Neural Information Processing Systems, volume 22, pages 189-197, 2009.
    • (2009) Advances in Neural Information Processing Systems , vol.22 , pp. 189-197
    • Bush, K.1    Pineau, J.2
  • 21
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    • Periodic pacing an in vitro epileptic focus
    • K. Jerger and S. J. Schiff. Periodic pacing an in vitro epileptic focus. Journal of Neurophysiology, (2):876-879, 1995.
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    • Jerger, K.1    Schiff, S.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.