Unverified50% confidenceFactExact time
In traditional reinforcement learning and end-to-end paradigms, policy networks (π) generally cannot be directly concatenated; for example, separately trained grasping (π1), navigation (π2), and placing (π3) networks are extremely difficult to directly chain together to complete long-horizon tasks because their observation spaces, action spaces, and intermediate states are hard to align.
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10/14/2026
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