Bayesian Policy Learning with Trans-Dimensional MCMC

Hoffman, Matthew, Doucet, Arnaud, Freitas, Nando D., Jasra, Ajay

Dec-31-2008–Neural Information Processing Systems

Continuous state-space Markov Decision Processes (MDPs) are notoriously difficult to solve.

algorithm, mcmc, probability distribution, (16 more...)

Neural Information Processing Systems

Dec-31-2008

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  - Representation & Reasoning > Uncertainty (1.00)
  - Machine Learning
    - Statistical Learning (1.00)
    - Learning Graphical Models > Undirected Networks
      - Markov Models (0.92)

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