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    » Reinforcement Learning: An Introduction
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    WSC
    2008
    154views Modeling And Simulation» more  WSC 2008»
    On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
    13 years 10 months ago
    On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
    Download  www.informs-sim.org
    Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
    Abhijit Gosavi
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    ECAI
    2008
    Springer
    127views Artificial Intelligence» more  ECAI 2008»
    Reinforcement Learning with Classifier Selection for Focused Crawling
    13 years 9 months ago
    Reinforcement Learning with Classifier Selection for Focused Crawling
    Download  users.auth.gr
    Focused crawlers are programs that wander in the Web, using its graph structure, and gather pages that belong to a specific topic. The most critical task in Focused Crawling is the...
    Ioannis Partalas, Georgios Paliouras, Ioannis P. V...
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    CLA
    2007
    251views Artificial Intelligence» more  CLA 2007»
    Policies Generalization in Reinforcement Learning using Galois Partitions Lattices
    13 years 9 months ago
    Policies Generalization in Reinforcement Learning using Galois Partitions Lattices
    Download  sunsite.informatik.rwth-aachen.de
    The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
    Marc Ricordeau, Michel Liquiere
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    ICONIP
    2007
    147views Information Technology» more  ICONIP 2007»
    Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents
    13 years 9 months ago
    Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents
    Download  www.nc.irp.oist.jp
    The aim of the Cyber Rodent project [1] is to elucidate the origin of our reward and affective systems by building artificial agents that share the natural biological constraints...
    Eiji Uchibe, Kenji Doya
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    IJCAI
    2007
    143views Artificial Intelligence» more  IJCAI 2007»
    Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning
    13 years 9 months ago
    Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning
    Download  www.aaai.org
    TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...
    Ah-Hwee Tan
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