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    SARA
    2007
    Springer
    167views Artificial Intelligence» more  SARA 2007»
    Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
    15 years 3 months ago
    Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
    Download  www-anw.cs.umass.edu
    Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
    Anders Jonsson, Andrew G. Barto
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    ML
    1998
    ACM
    101views Machine Learning» more  ML 1998»
    Elevator Group Control Using Multiple Reinforcement Learning Agents
    14 years 9 months ago
    Elevator Group Control Using Multiple Reinforcement Learning Agents
    Download  www.clear.rice.edu
    Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
    Robert H. Crites, Andrew G. Barto
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    ESANN
    2001
    116views Neural Networks» more  ESANN 2001»
    Learning fault-tolerance in Radial Basis Function Networks
    14 years 11 months ago
    Learning fault-tolerance in Radial Basis Function Networks
    Download  www.dice.ucl.ac.be
    This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
    Xavier Parra, Andreu Català
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    COLT
    2005
    Springer
    128views Machine Learning» more  COLT 2005»
    From External to Internal Regret
    14 years 11 months ago
    From External to Internal Regret
    Download  www.cs.cmu.edu
    External regret compares the performance of an online algorithm, selecting among N actions, to the performance of the best of those actions in hindsight. Internal regret compares ...
    Avrim Blum, Yishay Mansour
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    IUI
    2009
    ACM
    171views Software Engineering» more  IUI 2009»
    What were you thinking?: filling in missing dataflow through inference in learning from demonstration
    15 years 6 months ago
    What were you thinking?: filling in missing dataflow through inference in learning from demonstration
    Download  www.ai.sri.com
    Recent years have seen a resurgence of interest in programming by demonstration. As end users have become increasingly sophisticated, computer and artificial intelligence technolo...
    Melinda T. Gervasio, Janet L. Murdock
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