Deep Learning, Deep Reinforcement, Explainable Ai, Interpretability, Reinforcement Learning.
(CUTs) for model distillation, and shows its efficacy against other tree based models, making a case for using this approximated model to be used not only for explainability, but also as a faster and lighter alternative to the original model in deployment, and (2) it learns a global explainable