DSD: Learning Diverse and Reusable Motor Skills via Diffusion Skill Discovery
Diffusion Skill Discovery is proposed, a skill discovery method that uses a diffusion model to approximate the entropy gradient of the policy-induced state distribution through score matching, leading to the discovery of skills that produce a broader range of behaviors for high-dimensional humanoid control.