Deep Learning, Deep Reinforcement, Explainable Ai, Interpretability, Reinforcement Learning.
learning): Experience Training In this setting, we train the LMUT in a supervised fashion. We first gather the input observation (I) and actions (a) while training a DRL network. After we have learnt the DRL mode, we feed the recorded data to get the Q-values from it. The dataset thus obtained is