Three classifier system architectures are introduced that permit the systems to have continuous (non-discrete) actions. One is based on interpolation, the second on an actor-critic paradigm, and the third on treating the action as a continuous variable homogeneous with the input. While the last architecture appears most interesting and promising, all three offer potential directions toward continuous action, a goal that classifier systems have hardly addressed. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Wilson, S. W. (2007). Three architectures for continuous action. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4399 LNAI, pp. 239–257). Springer Verlag. https://doi.org/10.1007/978-3-540-71231-2_16
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