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    EWRL
    2008
    186views Machine Learning» more  EWRL 2008»
    Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
    15 years 6 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
    15 years 9 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
    15 years 8 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
    15 years 4 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
    15 years 10 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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