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    The Many Faces of Optimism : a Unifying Approach

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    The exploration-exploitation dilemma has been an intriguing and unsolved problem within the framework of reinforcement learn- ing. Optimism in the face of uncertainty and model building play central roles in ad- vanced exploration methods. Here, we inte- grate several concepts and obtain a fast and simple algorithm. We show that the proposed algorithm finds a near-optimal policy in poly- nomial time, and give experimental evidence that it is robust and efficient compared to its ascendants.

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    Description

    Title : The Many Faces of Optimism : a Unifying Approach
    Author(s) : István Szita, András Lörincz
    Abstract : The exploration-exploitation dilemma has been an intriguing and unsolved problem within the framework of reinforcement learn- ing. Optimism in the face of uncertainty and model building play central roles in ad- vanced exploration methods. Here, we inte- grate several concepts and obtain a fast and simple algorithm. We show that the proposed algorithm finds a near-optimal policy in poly- nomial time, and give experimental evidence that it is robust and efficient compared to its ascendants.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2008

    Affiliations Faculty of Informatics, Eotvos Lorand University
    Conference_title : Proceedings of the 25th International Confer ence on Machine Learning
    Volume : 307
    Pages : 1048-1055
    Url : http://doi.acm.org/10.1145/1390156.1390288

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