RLT paper wins CoRL oral: sample-efficient real-world RL to fine-tune VLA models
svlevine · x · 2026-11-09
Sergey Levine announces that RLT, a paper on adapting VLA (vision-language-action) models with sample-efficient real-world reinforcement learning, has been accepted as an oral at CoRL 2026. Charles Xu will present it Tuesday at 9am (Oral O4), with poster #64 at 5pm.
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