Heuristic Speed-Ups for Learning in Complex Stochastic Environments
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Authors
Darken, Christian J.
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Date of Issue
2005
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2005
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Abstract
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.
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Computer Science (CS)
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Citation
Proceedings of IJCAI 2005 Workshop on Planning and Learning in A Priori Unknown or Uncertain Domains.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.