Sequential decision making and reinforcement learning

Selected Publications

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• Inference and Learning for Active Sensing‚ Experimental Design and Control

  Hendrik Kueck‚ Matt Hoffman‚ Arnaud Doucet and Nando Freitas

  In Helder Araujo‚ Ana Maria Mendonca‚ Armando J. Pinho and Maria Ines Torres, editors, Pattern Recognition and Image Analysis. Vol. 5524 of Lecture Notes in Computer Science. Pages 1–10. Springer Berlin Heidelberg. 2009.

  Details about Inference and Learning for Active Sensing‚ Experimental Design and Control | BibTeX data for Inference and Learning for Active Sensing‚ Experimental Design and Control | DOI (10.1007/978-3-642-02172-5_1) | Link to Inference and Learning for Active Sensing‚ Experimental Design and Control

• Bayesian Policy Learning with Trans−Dimensional MCMC

  Matthew Hoffman‚ Arnaud Doucet‚ Nando de Freitas and Ajay Jasra

  In J.C. Platt‚ D. Koller‚ Y. Singer and S. Roweis, editors, Advances in Neural Information Processing Systems 20. Pages 665–672. MIT Press, Cambridge‚ MA. 2007.

  Details about Bayesian Policy Learning with Trans−Dimensional MCMC | BibTeX data for Bayesian Policy Learning with Trans−Dimensional MCMC | Link to Bayesian Policy Learning with Trans−Dimensional MCMC

• Inference Strategies for Solving Semi−Markov Decision Processes

  Matthew Hoffman and Nando de Freitas

  Chapter 5. Pages 82–96. Hershey: IGI Global. 2012.

  Details about Inference Strategies for Solving Semi−Markov Decision Processes | BibTeX data for Inference Strategies for Solving Semi−Markov Decision Processes | Download (pdf) of Inference Strategies for Solving Semi−Markov Decision Processes