Diffusion Policy
https://diffusion-policy.cs.columbia.edu/diffusion_policy_2023.pdf
Diffusion policy presents a novel method for generating robot behavior by representing visuomotor policies as conditional denoising diffusion processes. This method, known as Diffusion Policy, demonstrates superior performance across various robot manipulation tasks, achieving an average improvement of 46.9% over existing methods. Key advantages include handling multimodal action distributions, suitability for high-dimensional action spaces, and stable training.
Has mention of Implicit Behavioral Cloning.