2022
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents
NeurIPS 2022accept
Designing reinforcement learning (RL) agents is typically a difficult process that requires numerous design iterations. Learning can fail for a multitude of reasons and standard RL methods provide too few tools to provide insight into the exact cause. In this paper, we show how to integrate \textit{…