This repository provides implementations of several imitation learning algorithms for robotic manipulation, including Action Chunking with Transformers (ACT), Diffusion Policy, and VINN. It includes simulated environments (Transfer Cube and Bimanual Insertion) built with Mujoco and DM-Control for training and evaluation. The models use DETR-based architectures for transformer-based action chunking and diffusion-based policy learning.