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    AAAI
    2006
    107views Intelligent Agents» more  AAAI 2006»
    Inter-Task Action Correlation for Reinforcement Learning Tasks
    15 years 5 months ago
    Inter-Task Action Correlation for Reinforcement Learning Tasks
    Download  www.aaai.org
    Matthew E. Taylor, Peter Stone
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    101
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    AAAI
    2007
    103views Intelligent Agents» more  AAAI 2007»
    Autonomous Inter-Task Transfer in Reinforcement Learning Domains
    15 years 6 months ago
    Autonomous Inter-Task Transfer in Reinforcement Learning Domains
    Download  abotea.rsise.anu.edu.au
    Matthew E. Taylor
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    137
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    WSDM
    2012
    ACM
    214views Data Mining» more  WSDM 2012»
    Selecting actions for resource-bounded information extraction using reinforcement learning
    13 years 11 months ago
    Selecting actions for resource-bounded information extraction using reinforcement learning
    Download  people.cs.umass.edu
    Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
    Pallika H. Kanani, Andrew K. McCallum
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    140
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    IROS
    2008
    IEEE
    125views Robotics» more  IROS 2008»
    Dynamic correlation matrix based multi-Q learning for a multi-robot system
    15 years 10 months ago
    Dynamic correlation matrix based multi-Q learning for a multi-robot system
    Download  www.ece.stevens-tech.edu
    —Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...
    Hongliang Guo, Yan Meng
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    169
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    SCAI
    2008
    246views Artificial Intelligence» more  SCAI 2008»
    Fast Learning in an Actor-Critic Architecture with Reward and Punishment
    15 years 5 months ago
    Fast Learning in an Actor-Critic Architecture with Reward and Punishment
    Download  www.lucs.lu.se
    Abstract. A reinforcement architecture is introduced that consists of three complementary learning systems with different generalization abilities. The ACTOR learns state-action as...
    Christian Balkenius, Stefan Winberg
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