Bayesian REX
Bayesian Reward Extrapolation
**Bayesian Reward Extrapolation** is a Bayesian reward learning algorithm that scales to high-dimensional imitation learning problems by pre-training a low-dimensional feature encoding via self-supervised tasks and then leveraging preferences over demonstrations to perform fast Bayesian inference.
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
https://paperswithcode.com/paper/safe-imitation-learning-via-fast-bayesian
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences