Heuristic Speed-Ups for Learning in Complex Stochastic Environments
Darken, Christian J.
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We describe a novel mothodology by which a software agent can learn to predict future events in complex stochastic environments together with an important heuristic-based acceleration technique for computing the prediction. This speed-up enables us to use much more context in our predictions than was previously possible (Darken, 2005). We present results gathered from a first prototype of our approach.