In a new preprint, we explored the use of the parametric uncertainty of an agent as a way to learn in risk-sensitive environments. We show improved robustness to changing environment dynamics and lower failure rates in hard locomotion environments.

We will present our work at the Reinforcement Learning for Real Life Workshop @ ICML 2021.