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    ECAI
    2008
    Springer
    83views Artificial Intelligence» more  ECAI 2008»
    Using Decision Trees as the Answer Networks in Temporal Difference-Networks
    13 years 6 months ago
    Using Decision Trees as the Answer Networks in Temporal Difference-Networks
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    Laura-Andreea Antanas, Kurt Driessens, Jan Ramon, ...
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    NIPS
    2004
    99views Information Technology» more  NIPS 2004»
    Temporal-Difference Networks
    13 years 5 months ago
    Temporal-Difference Networks
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    Richard S. Sutton, Brian Tanner
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    NIPS
    1993
    123views Information Technology» more  NIPS 1993»
    Temporal Difference Learning of Position Evaluation in the Game of Go
    13 years 5 months ago
    Temporal Difference Learning of Position Evaluation in the Game of Go
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    The game of Go has a high branching factor that defeats the tree search approach used in computer chess, and long-range spatiotemporal interactions that make position evaluation e...
    Nicol N. Schraudolph, Peter Dayan, Terrence J. Sej...
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    NIPS
    2008
    173views Information Technology» more  NIPS 2008»
    On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
    13 years 5 months ago
    On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
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    In this theoretical contribution we provide mathematical proof that two of the most important classes of network learning - correlation-based differential Hebbian learning and rew...
    Christoph Kolodziejski, Bernd Porr, Minija Tamosiu...
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    NIPS
    2008
    130views Information Technology» more  NIPS 2008»
    Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation
    13 years 5 months ago
    Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation
    Download  eprints.pascal-network.org
    Actor-critic algorithms for reinforcement learning are achieving renewed popularity due to their good convergence properties in situations where other approaches often fail (e.g.,...
    Dotan Di Castro, Dmitry Volkinshtein, Ron Meir
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