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    EWRL
    2008
    186views Machine Learning» more  EWRL 2008»
    Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
    13 years 9 months ago
    Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
    Download  webee.technion.ac.il
    We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
    Kirill Dyagilev, Shie Mannor, Nahum Shimkin
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    ICCBR
    2005
    Springer
    80views Automated Reasoning» more  ICCBR 2005»
    Abstracting Reusable Cases from Reinforcement Learning
    14 years 1 months ago
    Abstracting Reusable Cases from Reinforcement Learning
    Download  www.cc.gatech.edu
    Andreas von Hessling, Ashok K. Goel
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    ECML
    1998
    Springer
    92views Machine Learning» more  ECML 1998»
    A General Convergence Method for Reinforcement Learning in the Continuous Case
    13 years 11 months ago
    A General Convergence Method for Reinforcement Learning in the Continuous Case
    Download  sequel.futurs.inria.fr
    Rémi Munos
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    ML
    2000
    ACM
    80views Machine Learning» more  ML 2000»
    A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions
    13 years 7 months ago
    A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions
    Download  www.ri.cmu.edu
    Rémi Munos
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    IJCNN
    2006
    IEEE
    91views Neural Networks» more  IJCNN 2006»
    Global Reinforcement Learning in Neural Networks with Stochastic Synapses
    14 years 1 months ago
    Global Reinforcement Learning in Neural Networks with Stochastic Synapses
    Download  pavel.physics.sunysb.edu
    — We have found a more general formulation of the REINFORCE learning principle which had been proposed by R. J. Williams for the case of artificial neural networks with stochast...
    Xiaolong Ma, Konstantin Likharev
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