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    PKDD
    2010
    Springer
    129views Data Mining» more  PKDD 2010»
    Smarter Sampling in Model-Based Bayesian Reinforcement Learning
    13 years 7 months ago
    Smarter Sampling in Model-Based Bayesian Reinforcement Learning
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    Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
    Pablo Samuel Castro, Doina Precup
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    ICRA
    2008
    IEEE
    173views Robotics» more  ICRA 2008»
    Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
    14 years 3 months ago
    Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
    Download  www.cs.cmu.edu
    — We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
    Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
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    IROS
    2009
    IEEE
    206views Robotics» more  IROS 2009»
    Bayesian reinforcement learning in continuous POMDPs with gaussian processes
    14 years 3 months ago
    Bayesian reinforcement learning in continuous POMDPs with gaussian processes
    Download  www.cs.cmu.edu
    — Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
    Patrick Dallaire, Camille Besse, Stéphane R...
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    IUI
    2009
    ACM
    110views Software Engineering» more  IUI 2009»
    A bayesian reinforcement learning approach for customizing human-robot interfaces
    14 years 3 months ago
    A bayesian reinforcement learning approach for customizing human-robot interfaces
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    Amin Atrash, Joelle Pineau
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    FLAIRS
    2008
    224views Artificial Intelligence» more  FLAIRS 2008»
    A Causal Bayesian Network View of Reinforcement Learning
    13 years 11 months ago
    A Causal Bayesian Network View of Reinforcement Learning
    Download  www.aaai.org
    Charles W. Fox, Neil Girdhar, Kevin N. Gurney
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