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REINFORCEMENT

LEARNING.

-INVERSE REINFORCEMENT LEARNING-
This paper covers an application of Q-Learning and Maximum Entropy Inverse Reinforcement Learning to pull out a reward function of a map without knowing what the rewards actually are. 

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