Abstracted Trajectory Visualization for Explainability in Reinforcement Learning

Explainable AI (XAI) has demonstrated the potential to help reinforcement learning (RL) practitioners to understand how RL models work. However, XAI for users who do not have RL expertise (non-RL experts), has not been studied sufficiently. This results in a difficulty for the non-RL experts to participate in the fundamental discussion of how RL models should be designed for an incoming society where humans and AI coexist. Solving such a problem would enable RL experts to communicate with the non-RL …

cs.ai cs.hc cs.lg expertise experts explainability explainable ai reinforcement reinforcement learning trajectory visualization work xai