Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning

Hector Kohler, Riad Akrour, Philippe Preux

Interpretability of AI models allows for user safety checks to build trust in these models. In particular, decision trees (DTs) provide a global view on the learned model and clear…