Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations

Pedro Sequeira, Melinda Gervasio

We propose an explainable reinforcement learning (XRL) framework that analyzes an agent's history of interaction with the environment to extract interestingness elements that help…