C. G. Atkeson, A. W. Moore, and S. Schaal. Lazy learning with Locally weighted regression: A survey of algorithms, statistics, experiment design and parameter selection. Submitted to AI Review Special Issue on Lazy Learning, 1995. Home/Search Document Not in Database Summary Related Articles |
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Memory-Based Learning for Control - Moore, Atkeson, Schaal (1995) (13 citations) Self-citation (Atkeson Moore Schaal) (Correct)
....improvement on each attempt. The goal of the learning algorithms described here is to have rapid improvement in performance. We will not review memory based function approximation here, but refer the reader to the companion papers in this collection. Here, we use the terminology and notation of [ Atkeson et al. 1995 ] 2 Learning control with empirical models In this paper we will deal with learning control problems in which, on each cycle, the controller first senses its current state, a vector x. A task description specifies the desired behavior, a vector y des . The controller must then choose an action, ....
C. G. Atkeson, A. W. Moore, and S. Schaal. Lazy learning with Locally weighted regression: A survey of algorithms, statistics, experiment design and parameter selection. Submitted to AI Review Special Issue on Lazy Learning, 1995.
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