8 found
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  1.  8
    Toward a Modern Theory of Adaptive Networks: Expectation and Prediction.Richard S. Sutton & Andrew G. Barto - 1981 - Psychological Review 88 (2):135-170.
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  2.  25
    Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks.Robert A. Jacobs, Michael I. Jordan & Andrew G. Barto - 1991 - Cognitive Science 15 (2):219-250.
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  3.  22
    Models of the Cerebellum and Motor Learning.James C. Houk, Jay T. Buckingham & Andrew G. Barto - 1996 - Behavioral and Brain Sciences 19 (3):368-383.
    This article reviews models of the cerebellum and motor learning, from the landmark papers by Marr and Albus through those of the present time. The unique architecture of the cerebellar cortex is ideally suited for pattern recognition, but how is pattern recognition incorporated into motor control and learning systems? The present analysis begins with a discussion of exactly what the cerebellar cortex needs to regulate through its anatomically defined projections to premotor networks. Next, we examine various models showing how the (...)
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  4. Learning to Act Using Real-Time Dynamic Programming.Andrew G. Barto, Steven J. Bradtke & Satinder P. Singh - 1995 - Artificial Intelligence 72 (1-2):81-138.
  5.  3
    Approximate Optimal Control as a Model for Motor Learning.Neil E. Berthier, Michael T. Rosenstein & Andrew G. Barto - 2005 - Psychological Review 112 (2):329-346.
  6.  41
    Commentary on Utility and Bounds.Andrew G. Barto - 2014 - Topics in Cognitive Science 6 (2):338-341.
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  7.  8
    More Models of the Cerebellum.James C. Houk & Andrew G. Barto - 1996 - Behavioral and Brain Sciences 19 (3):492-496.
  8.  15
    Learning and Incremental Dynamic Programming.Andrew G. Barto - 1991 - Behavioral and Brain Sciences 14 (1):94-95.
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