Why Diffusion Policy Outperforms Reinforcement Learning for Complex Robotic Manipulation

If an obstacle blocks the right path, a human can go left or right. Standard behavioral cloning averages both choices and crashes straight into the middle obstacle. Diffusion Policy models the entire multimodal probability distribution, generating collision-free trajectories reliably.