Deep Learning, Deep Reinforcement, Explainable Ai, Interpretability, Reinforcement Learning.
different types of input. Given these benefits, it wouldn’t be surprising to see variations of decision trees (even Random Forests) being used to explain deep learning models’ decision-making process. I specifically liked two things about this paper: (1) it build up on an existing RL technique