Announcement_23

🔔 Check out our two papers accepted at the Conference on Robot Learning (CoRL 2026), Austin, Texas US 🇺🇸: (i) PAINT a training-free method for asynchronous execution via Initial Noise Selection with backward Euler inversion; (ii) PGPG - an unsupervised preference alignment framework for generative control policies without human annotations or manual reward functions via ordered coverage alignment relative to a few expert demonstrations. Congratulations to the team! 🎉