BFM-QD searches a behavioral foundation model's latent space for diverse high-performing policies and outperforms parameter-space quality-diversity methods, especially in sparse and deceptive tasks.
A multi-scale Riemannian geometry extending Fisher information relates metric structure to mutual information and reveals visual cortex encoding features.