Risk-sensitive Reinforcement Learning

Yun Shen, Michael J. Tobia, Tobias Sommer +1

We derive a family of risk-sensitive reinforcement learning methods for agents, who face sequential decision-making tasks in uncertain environments. By applying a utility function…