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    AAAI
    2007
    70views Intelligent Agents» more  AAAI 2007»
    Reinforcement Using Supervised Learning for Policy Generalization
    13 years 7 months ago
    Reinforcement Using Supervised Learning for Policy Generalization
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    Julien Laumonier
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    ATAL
    2009
    Springer
    137views Intelligent Agents» more  ATAL 2009»
    Generalized model learning for reinforcement learning in factored domains
    13 years 11 months ago
    Generalized model learning for reinforcement learning in factored domains
    Download  userweb.cs.utexas.edu
    Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
    Todd Hester, Peter Stone
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    ECML
    2007
    Springer
    133views Machine Learning» more  ECML 2007»
    Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling
    13 years 11 months ago
    Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling
    Download  dtai.cs.kuleuven.be
    In this paper we investigate the relation between transfer learning in reinforcement learning with function approximation and supervised learning with concept drift. We present a n...
    Jan Ramon, Kurt Driessens, Tom Croonenborghs
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    ICML
    2006
    IEEE
    156views Machine Learning» more  ICML 2006»
    Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
    14 years 5 months ago
    Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
    Download  animatlab.lip6.fr
    Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
    Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
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    CLA
    2007
    251views Artificial Intelligence» more  CLA 2007»
    Policies Generalization in Reinforcement Learning using Galois Partitions Lattices
    13 years 6 months ago
    Policies Generalization in Reinforcement Learning using Galois Partitions Lattices
    Download  sunsite.informatik.rwth-aachen.de
    The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
    Marc Ricordeau, Michel Liquiere
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