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Learning to Plan from Random Exploration

Kong, Deqian et al.
arXiv (All) · Papers
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robotics
Random exploration reveals how an environment can be traversed before a goal is specified. Can this experience support long-range planning without policy-improvement training? Our random-walk analysis explains what temporal relations contain: short horizons reveal geodesic geometry in the diffusion
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