Applying variance-based Learning Classifier System without Convergence of Reward Estimation into various Reward distribution

Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama. Applying variance-based Learning Classifier System without Convergence of Reward Estimation into various Reward distribution. In 2017 IEEE Congress on Evolutionary Computation, CEC 2017, Donostia, San Sebastián, Spain, June 5-8, 2017. pages 2630-2637, IEEE, 2017. [doi]

Authors

Takato Tatsumi

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Hiroyuki Sato

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Tim Kovacs

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Keiki Takadama

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