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    ICML
    1996
    IEEE
    196views Machine Learning» more  ICML 1996»
    A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
    15 years 8 months ago
    A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
    Download  www.ri.cmu.edu
    This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
    Rémi Munos
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    150
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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
    16 years 4 months ago
    Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
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    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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    ICALT
    2005
    IEEE
    184views Machine Learning» more  ICALT 2005»
    Designing Web-Based Interactive Learning Environments for Problem-Based Learning
    15 years 9 months ago
    Designing Web-Based Interactive Learning Environments for Problem-Based Learning
    Download  www.cs.oswego.edu
    Problem-based learning is a pedagogical strategy that centers learning activities around the investigation and development of solutions to complex and ill-structured authentic pro...
    Lin Qiu, Christopher Riesbeck
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    ICALT
    2008
    IEEE
    135views Machine Learning» more  ICALT 2008»
    Interaction Analysis as a Multi-Support Approach of Social Computing for Learning, in the "Collaborative Era": Lessons Learned b
    15 years 10 months ago
    Interaction Analysis as a Multi-Support Approach of Social Computing for Learning, in the "Collaborative Era": Lessons Learned b
    Download  ltee.org
    Apparently computer technology is shifting its focus, with individual users not being the main target any more. The evolution of Web 2.0 technologies is promoting the development ...
    Tharrenos Bratitsis, Angelique Dimitracopoulou
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    147
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    ICML
    2005
    IEEE
    127views Machine Learning» more  ICML 2005»
    Exploration and apprenticeship learning in reinforcement learning
    16 years 4 months ago
    Exploration and apprenticeship learning in reinforcement learning
    Download  ai.stanford.edu
    We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
    Pieter Abbeel, Andrew Y. Ng
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