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    ATAL
    2009
    Springer
    77views Intelligent Agents» more  ATAL 2009»
    Learning with whom to communicate using relational reinforcement learning
    14 years 2 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
    13 years 9 months ago
    Subgoal Discovery for Hierarchical Reinforcement Learning Using Learned Policies
    Download  www.cse.uta.edu
    Sandeep Goel, Manfred Huber
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    NIPS
    1996
    89views Information Technology» more  NIPS 1996»
    Learning Decision Theoretic Utilities through Reinforcement Learning
    13 years 9 months ago
    Learning Decision Theoretic Utilities through Reinforcement Learning
    Download  papers.cnl.salk.edu
    Magnus Stensmo, Terrence J. Sejnowski
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    AIED
    2005
    Springer
    93views Artificial Intelligence» more  AIED 2005»
    Generating Structured Explanations of System Behaviour Using Qualitative Simulations
    14 years 1 months ago
    Generating Structured Explanations of System Behaviour Using Qualitative Simulations
    Download  staff.science.uva.nl
    This paper presents an approach to generate structured explanations of system behaviour based on qualitative simulations. This has been implemented in WiziGarp, a domain-independen...
    Anders Bouwer, Bert Bredeweg
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    NIPS
    1998
    140views Information Technology» more  NIPS 1998»
    Gradient Descent for General Reinforcement Learning
    13 years 9 months ago
    Gradient Descent for General Reinforcement Learning
    Download  www.ri.cmu.edu
    A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
    Leemon C. Baird III, Andrew W. Moore
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