Using Part-based Representations for Explainable Deep Reinforcement Learning

Manos Kirtas, Konstantinos Tsampazis, Loukia Avramelou +2

Utilizing deep learning models to learn part-based representations holds significant potential for interpretable-by-design approaches, as these models incorporate latent causes obt…