Bayesian Reward Extrapolation

Bayesian Reward Extrapolation, also known as Bayesian REX, is an algorithm used for reward learning. This algorithm can handle complex learning problems that involve high-dimensional imitation learning, and it does so by pre-training a small feature encoding and utilizing preferences over demonstrations to conduct fast Bayesian inference. In this article, we will dive into the topic of Bayesian REX, its features, and its use in solving complex learning problems. The Basics of Bayesian Reward E