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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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    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 9 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 4 months 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
    15 years 3 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 8 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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