Adaptive Decoder For An Adaptive Learning Controller

This paper discusses the implementation of an Adaptive Decoder (AD) in the Adaptive Learning Controller (ALC) algorithms developed by Barto, based on the neuron modeling work of Klopf. It is shown that using an Adaptive Decoder that shifts from coarse to fine space partition at a chosen instant improves ALC performance significantly, by decreasing the required learning time and reducing the operating bounds of the control variables.