XCS-CR: determining accuracy of classifier by its collective reward in action set toward environment with action noise - researchr publication

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Takato Tatsumi, Tim Kovacs, Keiki Takadama. XCS-CR: determining accuracy of classifier by its collective reward in action set toward environment with action noise. In Hernán E. Aguirre, Keiki Takadama, editors, Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2018, Kyoto, Japan, July 15-19, 2018. pages 1457-1464, ACM, 2018. [doi]

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