Epistemic Risk-Sensitive Reinforcement Learning

Hannes Eriksson, Christos Dimitrakakis

We develop a framework for interacting with uncertain environments in reinforcement learning (RL) by leveraging preferences in the form of utility functions. We claim that there is…