More precisely, we prove three different ways to upper bound the intrinsic uncertainty, as described by the conditional entropy of the target variable given the inputs, by combining CP with information theoretical inequalities.

Instructional "how-to" videos online allow users to master new skills and everyday DIY tasks, from

We consider the problem of Imitation Learning (IL) by actively querying noisy expert for feedback.

In real-world applications, though, out-of-distribution tasks are highly prevalent, e.g., bin

This procedure can leverage noisy, asynchronous human feedback to learn policies with no hand-crafted reward design or exploration bonuses.

LLMs' flexibility is largely due to an "in-context learning" effect that emerges when