Deep Learning, Deep Reinforcement, Explainable Ai, Interpretability, Reinforcement Learning.
overall influence of feature f is given by summing up influence of of that feature an all nodes. Another way explain the decision in LMUTs is to used the rule extraction from the underlying tree. The rules are represented in the paper as feature ranges and the Q-values vector for the current