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Volumn , Issue , 2008, Pages

Trans-dimensional MCMC for Bayesian policy learning

Author keywords

[No Author keywords available]

Indexed keywords

CHAINS; INFERENCE ENGINES; MARKOV PROCESSES; MAXIMUM PRINCIPLE; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC MODELS;

EID: 85162074018     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (21)
  • 5
    • 0346982426 scopus 로고    scopus 로고
    • Using EMfor reinforcement learning
    • P. Dayan and G. E. Hinton. Using EMfor reinforcement learning. Neural Computation, 9:271-278, 1997.
    • (1997) Neural Computation , vol.9 , pp. 271-278
    • Dayan, P.1    Hinton, G.E.2
  • 7
    • 77956889087 scopus 로고
    • Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
    • P. J. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika, 82:711-732, 1995.
    • (1995) Biometrika , vol.82 , pp. 711-732
    • Green, P.J.1
  • 11
    • 0007190954 scopus 로고    scopus 로고
    • Simulation based optimal design
    • P. Müller. Simulation based optimal design. Bayesian Statistics, 6, 1999.
    • (1999) Bayesian Statistics , vol.6
    • Müller, P.1
  • 12
    • 4944254628 scopus 로고    scopus 로고
    • Optimal bayesian design by inhomogeneous Markov chain simulation
    • DOI 10.1198/016214504000001123
    • P. Müller, B. Sansó, and M. De Iorio. Optimal Bayesian design by inhomogeneous Markov chain simulation. J. American Stat. Assoc., 99:788-798, 2004. (Pubitemid 39332860)
    • (2004) Journal of the American Statistical Association , vol.99 , Issue.467 , pp. 788-798
    • Muller, P.1    Sanso, B.2    De Iorio, M.3
  • 18
    • 84898978676 scopus 로고    scopus 로고
    • Monte Carlo POMDPs
    • S. Solla, T. Leen, and K.-R. Müller, editors. MIT Press
    • S. Thrun. Monte Carlo POMDPs. In S. Solla, T. Leen, and K.-R. Müller, editors, Neural Information Processing Systems, pages 1064-1070. MIT Press, 2000.
    • (2000) Neural Information Processing Systems , pp. 1064-1070
    • Thrun, S.1
  • 20
    • 33749234798 scopus 로고    scopus 로고
    • Probabilistic inference for solving discrete and continuous state Markov decision processes
    • M. Toussaint and A. Storkey. Probabilistic inference for solving discrete and continuous state Markov decision processes. In International Conference on Machine Learning, 2006.
    • (2006) International Conference on Machine Learning
    • Toussaint, M.1    Storkey, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.