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    EWRL
    2008
    186views Machine Learning» more  EWRL 2008»
    Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
    13 years 10 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 10 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 10 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 10 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 10 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 10 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 10 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 10 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 10 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 10 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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