Deep Reactive Policy (IMPACT) pretraining data

From the catalogue. Listed by one researcher from one source page.

• id: deep-reactive-policy-impact-pretraining-data
• kind: synthetic or generated
• robot or device: manipulator arm in simulation (class: single arm)
• how collected: generated expert trajectories
• size as stated: 10 million generated expert trajectories
• hours: not stated | hours only claimed: none | episodes: 10,000,000
• year: 2025
• organisation: Carnegie Mellon University
• licence: not stated (class: not stated)
• access: not stated (class: not stated)
• link (paper): https://arxiv.org/abs/2509.06953
• note: Only the paper was opened.

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