Abstracted Trajectory Visualization for Explainability in Reinforcement Learning

Yoshiki Takagi, Roderick Tabalba, Nurit Kirshenbaum +1

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 ex…