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Maximum likelihood inverse reinforcement learning
Learning desirable behavior from a limited number of demonstrations, also known as inverse reinforcement learning, is a challenging task in machine learning. I apply maximum likelihood estimation to the problem of inverse reinforcement learning, and show that it quickly and successfully identifies t
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