Deep Learning, Deep Reinforcement, Explainable Ai, Interpretability, Reinforcement Learning.
state space using the decision splits. Chernova et al. [2] proposed using CUTs for RL, where we regress over the value function. LMUTs can therefore be considered as marriage of tree-based knowledge distillation and tree-based RL techniques. They distill the DRL models into a structure suitable for