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    ICML
    2005
    IEEE
    127views Machine Learning» more  ICML 2005»
    Exploration and apprenticeship learning in reinforcement learning
    16 years 14 days 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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    CLUSTER
    2008
    IEEE
    95views Distributed And Parallel Com...» more  CLUSTER 2008»
    Reinforcement learning for automated performance tuning: Initial evaluation for sparse matrix format selection
    15 years 6 months ago
    Reinforcement learning for automated performance tuning: Initial evaluation for sparse matrix format selection
    Download  iwapt.org
    Warren Armstrong, Alistair P. Rendell
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    ATAL
    2010
    Springer
    102views Intelligent Agents» more  ATAL 2010»
    Improving the performance of complex agent plans through reinforcement learning
    15 years 23 days ago
    Improving the performance of complex agent plans through reinforcement learning
    Download  www.dis.uniroma1.it
    Matteo Leonetti, Luca Iocchi
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    AAMAS
    2010
    Springer
    190views Intelligent Agents» more  AAMAS 2010»
    Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning
    14 years 11 months ago
    Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning
    Download  www.cs.utexas.edu
    Shimon Whiteson, Matthew E. Taylor, Peter Stone
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    AGENTS
    2001
    Springer
    201views Security Privacy» more  AGENTS 2001»
    Using background knowledge to speed reinforcement learning in physical agents
    15 years 4 months ago
    Using background knowledge to speed reinforcement learning in physical agents
    Download  www.isle.org
    This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
    Daniel G. Shapiro, Pat Langley, Ross D. Shachter
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