A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies - researchr publication authors

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Jordan T. Bishop, Marcus Gallagher, Will N. Browne. A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies. In Krzysztof Krawiec, editor, GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France, July 10-14, 2021. pages 1630-1638, ACM, 2021. [doi]

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