Deep Learning, Deep Reinforcement, Explainable Ai, Interpretability, Reinforcement Learning.
are interpretable, they approximates the DQN and then we interpret LMUTs in this paper. This method is one among many other tree-based methods used for DL transparency. These methods have the advantage of sophisticated rule based extractions, which are easy to understand and can be applied over