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    CEC
    2009
    IEEE
    324views Artificial Intelligence» more  CEC 2009»
    On-line neuroevolution applied to The Open Racing Car Simulator
    14 years 4 months ago
    On-line neuroevolution applied to The Open Racing Car Simulator
    Download  home.dei.polimi.it
    — The application of on-line learning techniques to modern computer games is a promising research direction. In fact, they can be used to improve the game experience and to achie...
    Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
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    COR
    2011
    259views Applied Computing» more  COR 2011»
    Online scheduling of weighted equal-length jobs with hard deadlines on parallel machines
    13 years 4 months ago
    Online scheduling of weighted equal-length jobs with hard deadlines on parallel machines
    Download  num.math.uni-goettingen.de
    We consider the problem of scheduling a maximum profit selection of equal length jobs on m identical machines. Jobs arrive online over time and the goal is to determine a non-pre...
    Sven Oliver Krumke, Alfred Taudes, Stephan Westpha...
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    SIGACT
    2008
    116views more  SIGACT 2008»
    On-line bipartite matching made simple
    13 years 10 months ago
    On-line bipartite matching made simple
    Download  www.cs.washington.edu
    We examine the classic on-line bipartite matching problem studied by Karp, Vazirani, and Vazirani [8] and provide a simple proof of their result that the Ranking algorithm for thi...
    Benjamin E. Birnbaum, Claire Mathieu
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    CP
    2006
    Springer
    121views Artificial Intelligence» more  CP 2006»
    A Simple Distribution-Free Approach to the Max k-Armed Bandit Problem
    14 years 1 months ago
    A Simple Distribution-Free Approach to the Max k-Armed Bandit Problem
    Download  www.cs.cmu.edu
    The max k-armed bandit problem is a recently-introduced online optimization problem with practical applications to heuristic search. Given a set of k slot machines, each yielding p...
    Matthew J. Streeter, Stephen F. Smith
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    COLCOM
    2005
    IEEE
    191views Distributed And Parallel Com...» more  COLCOM 2005»
    Developing a framework for integrating prior problem solving and knowledge sharing histories of a group to predict future group
    14 years 3 months ago
    Developing a framework for integrating prior problem solving and knowledge sharing histories of a group to predict future group
    Download  www.immex.ucla.edu
    Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
    Ron Stevens, Amy Soller, Alessandra Giordani, Luca...
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