Title: Inverse Reinforcement Learning for Autonomous Ground Navigation Using Aerial and Satellite Observation Data   Abstract: Inverse Reinforcement Learning(IRL) is a supervised learning paradigm where a learner observes expert demonstrations to learn the hidden cost function to mimic the expert's behavior. Eliminating the need for elaborate feature engineering, deep IRL approaches have been gaining interests [...]