Deep Learning, Deep Reinforcement, Explainable Ai, Interpretability, Reinforcement Learning.
splitting criteria to split the node. The authors tried three splitting criterion: working response of SGD, KolmogorovSmirnov (KS) test and Variance Test and found Variance Test to be be more efficient than others. Fig 3: LMUT training algorithm. Source Interpretability To quantify the influence of