Deep Learning, Deep Reinforcement, Explainable Ai, Interpretability, Reinforcement Learning.
observation. Evaluation The authors learn LMUTs on three environments: Mountain Car, Cart Pole, and Flappy Bird. While the first two environments use 2 and 4 dimensional continuous inputs, Flappy Bird uses an image as input. A DQN is train for playing these games, using a rescaled images (80x80)