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Model Exploitation

  • Martin V. Butz
Part of the Genetic Algorithms and Evolutionary Computation book series (GENA, volume 4)

Abstract

Despite the distinct challenges in the last chapter, the experimental studies confirmed that ACS2 is normally able to evolve a compact, complete, and accurate model of an environment. While the experiments in chapter 3 mainly showed the performance of ACS2 in terms of its model and reinforcement learning capabilities, this chapter exhibits experiments in which performance is increased by exploiting the environmental model. Particularly, promising results of two model-exploitation types are provided. (1) A complete and accu­rate model is evolved faster and more reliable. (2) A further adaptivity beyond the usual reinforcement learning capabilities is realized.

Keywords

Reinforcement Learning Model Exploitation Environmental Model Reward Prediction Unknown Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Martin V. Butz
    • 1
  1. 1.University of WürzburgGermany

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