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Showing 1 to 2 of 2 for “"Reward Inference"”.
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Adversarial Inverse Reinforcement Learning with Noisy Observations
… 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 deteriorate the performance of a popular and widely applied IRL method, called …
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Anticipating, Extracting, and Leveraging Information in Clinical Decision-Making
… boundaries, and lexicographically-ordered reward inference (LORI), which explains human preferences through lexicographically-prioritized objectives. For leveraging, we give two examples of how knowledge extracted from expert demonstrations can inform other downstream tasks: As the first …