Maximum Entropy Inverse Reinforcement Learning
Introduction In problems of imitation learning the goal is to learn to pre-dictthebehavior anddecisionsanagentwouldchoose–e.g., the motions a person would take to grasp an object or the route a driver would take to get from home to work. Captur-ing purposeful, sequential decision-making behavior can be
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