Deep Learning, Deep Reinforcement, Explainable Ai, Interpretability, Reinforcement Learning.
RL. Effectively, a LMUT generates a piecewise linear function over the feature space. The weights of the linear models at the leaves help in finding out the importance of features. Fig. 1: An example LMUT. Leaves learn learning models for Q-function using the feature ranges defined by the nodes.