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    EWRL
    2008
    186views Machine Learning» more  EWRL 2008»
    Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
    13 years 6 months ago
    Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
    Download  webee.technion.ac.il
    We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
    Kirill Dyagilev, Shie Mannor, Nahum Shimkin
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    EWRL
    2008
    121views Machine Learning» more  EWRL 2008»
    Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem
    13 years 6 months ago
    Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem
    Download  www.neuroinformatik.ruhr-uni-bochum.de
    Two variable metric reinforcement learning methods, the natural actor-critic algorithm and the covariance matrix adaptation evolution strategy, are compared on a conceptual level a...
    Verena Heidrich-Meisner, Christian Igel
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    EWRL
    2008
    143views Machine Learning» more  EWRL 2008»
    New Error Bounds for Approximations from Projected Linear Equations
    13 years 6 months ago
    New Error Bounds for Approximations from Projected Linear Equations
    Download  www.mit.edu
    We consider linear fixed point equations and their approximations by projection on a low dimensional subspace. We derive new bounds on the approximation error of the solution, whi...
    Huizhen Yu, Dimitri P. Bertsekas
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    EWRL
    2008
    121views Machine Learning» more  EWRL 2008»
    Probabilistic Inference for Fast Learning in Control
    13 years 6 months ago
    Probabilistic Inference for Fast Learning in Control
    Download  mlg.eng.cam.ac.uk
    Carl Edward Rasmussen, Marc Peter Deisenroth
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    EWRL
    2008
    129views Machine Learning» more  EWRL 2008»
    Markov Decision Processes with Arbitrary Reward Processes
    13 years 6 months ago
    Markov Decision Processes with Arbitrary Reward Processes
    Download  www.cim.mcgill.ca
    Abstract. We consider a control problem where the decision maker interacts with a standard Markov decision process with the exception that the reward functions vary arbitrarily ove...
    Jia Yuan Yu, Shie Mannor, Nahum Shimkin
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    EWRL
    2008
    158views Machine Learning» more  EWRL 2008»
    Basis Expansion in Natural Actor Critic Methods
    13 years 6 months ago
    Basis Expansion in Natural Actor Critic Methods
    Download  www.ceng.metu.edu.tr
    Sertan Girgin, Philippe Preux
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    EWRL
    2008
    104views Machine Learning» more  EWRL 2008»
    Optimistic Planning of Deterministic Systems
    13 years 6 months ago
    Optimistic Planning of Deterministic Systems
    Download  eprints.pascal-network.org
    If one possesses a model of a controlled deterministic system, then from any state, one may consider the set of all possible reachable states starting from that state and using any...
    Jean-François Hren, Rémi Munos
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    EWRL
    2008
    144views Machine Learning» more  EWRL 2008»
    Regularized Fitted Q-Iteration: Application to Planning
    13 years 6 months ago
    Regularized Fitted Q-Iteration: Application to Planning
    Download  eprints.pascal-network.org
    We consider planning in a Markovian decision problem, i.e., the problem of finding a good policy given access to a generative model of the environment. We propose to use fitted Q-i...
    Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...
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    EWRL
    2008
    133views Machine Learning» more  EWRL 2008»
    Exploiting Additive Structure in Factored MDPs for Reinforcement Learning
    13 years 6 months ago
    Exploiting Additive Structure in Factored MDPs for Reinforcement Learning
    Download  ewrl08.futurs.inria.fr
    Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
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    EWRL
    2008
    148views Machine Learning» more  EWRL 2008»
    Policy Learning - A Unified Perspective with Applications in Robotics
    13 years 6 months ago
    Policy Learning - A Unified Perspective with Applications in Robotics
    Download  www.kyb.tuebingen.mpg.de
    Policy Learning approaches are among the best suited methods for high-dimensional, continuous control systems such as anthropomorphic robot arms and humanoid robots. In this paper,...
    Jan Peters, Jens Kober, Duy Nguyen-Tuong
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