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    JMLR
    2002
    100views more  JMLR 2002»
    On the Convergence of Optimistic Policy Iteration
    13 years 7 months ago
    On the Convergence of Optimistic Policy Iteration
    Download  www.mit.edu
    We consider a finite-state Markov decision problem and establish the convergence of a special case of optimistic policy iteration that involves Monte Carlo estimation of Q-values,...
    John N. Tsitsiklis
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    FLAIRS
    2004
    106views Artificial Intelligence» more  FLAIRS 2004»
    On the Pedagogically Guided Paper Recommendation for an Evolving Web-Based Learning System
    13 years 9 months ago
    On the Pedagogically Guided Paper Recommendation for an Evolving Web-Based Learning System
    Download  www.aaai.org
    In this paper we discuss the mechanism of a recommender system recommending papers for an evolving web-based learning system. Our system is unique in three aspects. The first is t...
    Tiffany Ya Tang, Gordon I. McCalla
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    ICPR
    2006
    IEEE
    129views computer vision» more  ICPR 2006»
    Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds
    14 years 8 months ago
    Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds
    Download  www.cse.unr.edu
    Detecting regions of interest in video sequences is the most important task in many high level video processing applications. In this paper a robust technique based on recursive l...
    Alireza Tavakkoli, George Bebis, Mircea Nicolescu
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    AAAI
    2006
    161views Intelligent Agents» more  AAAI 2006»
    Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
    13 years 9 months ago
    Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
    Download  staff.science.uva.nl
    Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
    Shimon Whiteson, Peter Stone
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    CVPR
    2009
    IEEE
    314views Computer Vision» more  CVPR 2009»
    Learning sign language by watching TV (using weakly aligned subtitles)
    15 years 2 months ago
    Learning sign language by watching TV (using weakly aligned subtitles)
    Download  www.comp.leeds.ac.uk
    The goal of this work is to automatically learn a large number of British Sign Language (BSL) signs from TV broadcasts. We achieve this by using the supervisory information avai...
    Patrick Buehler (University of Oxford), Mark Everi...
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