Generating interpretable reinforcement learning policies using genetic programming - researchr publication authors

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Daniel Hein 0001, Steffen Udluft, Thomas A. Runkler. Generating interpretable reinforcement learning policies using genetic programming. In Manuel López-Ibáñez 0001, Anne Auger, Thomas Stützle, editors, Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2019, Prague, Czech Republic, July 13-17, 2019. pages 23-24, ACM, 2019. [doi]

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