As stated in the title, I'm wondering if it would be possible to "outperform" the master in the apprenticeship learning. I'm aware that the question might be not clear enough; but hopefully, someone might have done something on it before.

More precisely, I'm actually asking a clear way to define the target of learning: If the master's behavior is defined as standards, then of course the answer should be NO.

However, consider a real example: in the case of autonomous vehicles, if we design the algorithm to mimic a human master, then would it be possible for the algorithm to outperform the master (consider ideal case, and neglect physical condition, e.g. tired, un-focused...), especially in new situations, if we well-define a new reasonable standard?


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.