Diffusion Policies for Short-Horizon Planning in Robot Crowd Navigation
Planning Diffusion Policy Optimization is proposed, an offline-to-online reinforcement-learning framework that uses a diffusion policy to generate short-horizon action chunks for crowd navigation and obtains an improved success rate over strong baselines and ablations demonstrate that action chunks are especially impor...