SpeedAug: Policy Acceleration via Tempo-Enriched Policy and RL Fine-Tuning

Taewook Nam, Junmo Cho, Youngsoo Jang +1

Robotic policy learning for complex real-world manipulation tasks has seen rapid recent progress, enabled in large part by the ability to collect demonstrations through human opera…