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    ICML
    2009
    IEEE
    160views Machine Learning» more  ICML 2009»
    The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
    16 years 2 months ago
    The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
    Download  www.research.rutgers.edu
    The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
    Carlos Diuk, Lihong Li, Bethany R. Leffler
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    COLT
    2000
    Springer
    87views Machine Learning» more  COLT 2000»
    Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
    15 years 6 months ago
    Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
    Download  www.cs.iastate.edu
    We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
    Peter L. Bartlett, Jonathan Baxter
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    IJAIT
    2008
    146views more  IJAIT 2008»
    Learning to Behave in Space: a Qualitative Spatial Representation for Robot Navigation with Reinforcement Learning
    15 years 1 months ago
    Learning to Behave in Space: a Qualitative Spatial Representation for Robot Navigation with Reinforcement Learning
    Download  www.aussagekraft.de
    ion mechanism to create a representation of space consisting of the circular order of detected landmarks and the relative position of walls towards the agent's moving directio...
    Lutz Frommberger
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    ATAL
    2009
    Springer
    77views Intelligent Agents» more  ATAL 2009»
    Learning with whom to communicate using relational reinforcement learning
    15 years 8 months ago
    Learning with whom to communicate using relational reinforcement learning
    Download  www.aamas-conference.org
    Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, ...
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    FLAIRS
    2003
    117views Artificial Intelligence» more  FLAIRS 2003»
    Subgoal Discovery for Hierarchical Reinforcement Learning Using Learned Policies
    15 years 3 months ago
    Subgoal Discovery for Hierarchical Reinforcement Learning Using Learned Policies
    Download  www.cse.uta.edu
    Sandeep Goel, Manfred Huber
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