Diffusion-2BC: Hybrid Diffusion and Regression Training for Offline Behavior Cloning in Autonomous Driving
Diffusion-2BC combines diffusion denoising with an auxiliary deterministic behavior-cloning loss to improve offline behavior cloning for autonomous driving. This hybrid approach addresses limitations of standard methods by preserving multimodal action generation while enhancing reliability, especially when demonstrations have multiple valid actions.