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    » Finding Structure in Reinforcement Learning
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    ICTAI
    2003
    IEEE
    197views Artificial Intelligence» more  ICTAI 2003»
    Q-Concept-Learning: Generalization with Concept Lattice Representation in Reinforcement Learning
    13 years 10 months ago
    Q-Concept-Learning: Generalization with Concept Lattice Representation in Reinforcement Learning
    Download  www.grappa.univ-lille3.fr
    One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
    Marc Ricordeau
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    ML
    2002
    ACM
    100views Machine Learning» more  ML 2002»
    Structure in the Space of Value Functions
    13 years 4 months ago
    Structure in the Space of Value Functions
    Download  www.gatsby.ucl.ac.uk
    Solving in an efficient manner many different optimal control tasks within the same underlying environment requires decomposing the environment into its computationally elemental ...
    David J. Foster, Peter Dayan
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    NIPS
    2008
    129views Information Technology» more  NIPS 2008»
    Structure Learning in Human Sequential Decision-Making
    13 years 6 months ago
    Structure Learning in Human Sequential Decision-Making
    Download  www-users.cs.umn.edu
    We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
    Daniel Acuña, Paul R. Schrater
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    ICONIP
    2007
    147views Information Technology» more  ICONIP 2007»
    Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents
    13 years 6 months ago
    Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents
    Download  www.nc.irp.oist.jp
    The aim of the Cyber Rodent project [1] is to elucidate the origin of our reward and affective systems by building artificial agents that share the natural biological constraints...
    Eiji Uchibe, Kenji Doya
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    EWRL
    2008
    133views Machine Learning» more  EWRL 2008»
    Exploiting Additive Structure in Factored MDPs for Reinforcement Learning
    13 years 6 months ago
    Exploiting Additive Structure in Factored MDPs for Reinforcement Learning
    Download  ewrl08.futurs.inria.fr
    Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
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