Leveraging Informative Source Policies for Efficient Imitation Learning via Interpolant-based Policy Diffusion

Initiating diffusion-based imitation learning from more informative source policies, rather than standard Gaussian noise, can significantly improve performance, especially with a small number of diffusion steps and limited data.