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    NIPS
    1993
    123views Information Technology» more  NIPS 1993»
    Temporal Difference Learning of Position Evaluation in the Game of Go
    14 years 11 months ago
    Temporal Difference Learning of Position Evaluation in the Game of Go
    Download  www.gatsby.ucl.ac.uk
    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
    1993
    86views Information Technology» more  NIPS 1993»
    Robust Reinforcement Learning in Motion Planning
    14 years 11 months ago
    Robust Reinforcement Learning in Motion Planning
    Download  www.cs.cmu.edu
    While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
    Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
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    NIPS
    1994
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    On-line Learning of Dichotomies
    14 years 11 months ago
    On-line Learning of Dichotomies
    Download  hebb.mit.edu
    The performance of on-line algorithms for learning dichotomies is studied. In on-line learning, the number of examples P is equivalent to the learning time, since each example is ...
    N. Barkai, H. Sebastian Seung, Haim Sompolinsky
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    77
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    NIPS
    1994
    100views Information Technology» more  NIPS 1994»
    Boosting the Performance of RBF Networks with Dynamic Decay Adjustment
    14 years 11 months ago
    Boosting the Performance of RBF Networks with Dynamic Decay Adjustment
    Download  www.inf.uni-konstanz.de
    Radial Basis Function (RBF) Networks, also known as networks of locally{tuned processing units (see 6]) are well known for their ease of use. Most algorithms used to train these t...
    Michael R. Berthold, Jay Diamond
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    NIPS
    1994
    124views Information Technology» more  NIPS 1994»
    From Data Distributions to Regularization in Invariant Learning
    14 years 11 months ago
    From Data Distributions to Regularization in Invariant Learning
    Download  www.bme.ogi.edu
    Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
    Todd K. Leen
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