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Generative models, when framed as proposal distributions for planning, unlock efficient long-horizon reasoning in model-based RL, outperforming diffusion policies and model-free methods.
Achieving zero-shot transfer of a single diffusion policy for multi-task block pushing could revolutionize robotic manipulation across varied real-world environments.
