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    AGI
    2008
    142views Artificial Intelligence» more  AGI 2008»
    On the Broad Implications of Reinforcement Learning based AGI
    13 years 10 months ago
    On the Broad Implications of Reinforcement Learning based AGI
    Download  www.ece.utk.edu
    Reinforcement learning (RL) is an attractive machine learning discipline in the context of Artificial General Intelligence (AGI). This paper focuses on the intersection between RL ...
    Scott Livingston, Jamie Garvey, Itamar Elhanany
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    ESANN
    2006
    72views Neural Networks» more  ESANN 2006»
    A multiagent architecture for concurrent reinforcement learning
    13 years 10 months ago
    A multiagent architecture for concurrent reinforcement learning
    Download  www.dice.ucl.ac.be
    In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...
    Victor Uc Cetina
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    NIPS
    1997
    94views Information Technology» more  NIPS 1997»
    Reinforcement Learning with Hierarchies of Machines
    13 years 10 months ago
    Reinforcement Learning with Hierarchies of Machines
    Download  www.cs.berkeley.edu
    We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
    Ronald Parr, Stuart J. Russell
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    EWRL
    2008
    191views Machine Learning» more  EWRL 2008»
    Bayesian Reward Filtering
    13 years 10 months ago
    Bayesian Reward Filtering
    Download  www.metz.supelec.fr
    A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
    Matthieu Geist, Olivier Pietquin, Gabriel Fricout
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    ML
    2011
    ACM
    152views Machine Learning» more  ML 2011»
    Characterizing reinforcement learning methods through parameterized learning problems
    12 years 11 months ago
    Characterizing reinforcement learning methods through parameterized learning problems
    Download  www.cs.utexas.edu
    Shivaram Kalyanakrishnan, Peter Stone
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