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Adversarial Inverse Reinforcement Learning with Noisy Observations

Shrestha, Sagar2027

… popular approach for training robots from human/expert demonstration, where a learner/robot infers the expert's hidden reward function using the demonstrations and a simulator. We argue that noise is inevitable in certain parts of the demonstration, and show that such noise does indeed …

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