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    » Reinforcement Learning and the Bayesian Control Rule
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    NIPS
    1996
    117views Information Technology» more  NIPS 1996»
    Reinforcement Learning for Mixed Open-loop and Closed-loop Control
    13 years 7 months ago
    Reinforcement Learning for Mixed Open-loop and Closed-loop Control
    Download  anytime.cs.umass.edu
    Closed-loop control relies on sensory feedback that is usually assumed to be free. But if sensing incurs a cost, it may be coste ective to take sequences of actions in open-loop m...
    Eric A. Hansen, Andrew G. Barto, Shlomo Zilberstei...
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    ICML
    2005
    IEEE
    196views Machine Learning» more  ICML 2005»
    Bayesian sparse sampling for on-line reward optimization
    14 years 7 months ago
    Bayesian sparse sampling for on-line reward optimization
    Download  www.cs.ualberta.ca
    We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
    Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
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    NIPS
    2008
    188views Information Technology» more  NIPS 2008»
    Bayesian Kernel Shaping for Learning Control
    13 years 7 months ago
    Bayesian Kernel Shaping for Learning Control
    Download  eprints.pascal-network.org
    In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
    Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
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    FLAIRS
    1998
    130views Artificial Intelligence» more  FLAIRS 1998»
    Learning to Race: Experiments with a Simulated Race Car
    13 years 7 months ago
    Learning to Race: Experiments with a Simulated Race Car
    Download  www.aaai.org
    Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
    Larry D. Pyeatt, Adele E. Howe
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    NIPS
    2008
    149views Information Technology» more  NIPS 2008»
    Optimization on a Budget: A Reinforcement Learning Approach
    13 years 7 months ago
    Optimization on a Budget: A Reinforcement Learning Approach
    Download  www.cs.arizona.edu
    Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
    Paul Ruvolo, Ian R. Fasel, Javier R. Movellan
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