BASIL evolves compact symbolic if-then rule policies with a quality-diversity archive and matches a DQN baseline on CartPole, MountainCar, and Acrobot.
Journal of Artificial Intelligence Research 4, 237–285 (1996)
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BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies
BASIL evolves compact symbolic if-then rule policies with a quality-diversity archive and matches a DQN baseline on CartPole, MountainCar, and Acrobot.