Transition-based versus State-based Reward Functions for MDPs with Value-at-Risk

Shuai Ma, Jia Yuan Yu

In reinforcement learning, the reward function on current state and action is widely used. When the objective is about the expectation of the (discounted) total reward only, it wor…