{"slug": "vla-precision-asymmetric-co-bootstrapping-for-efficient-real-world-online-rl-of", "title": "VLA-Precision: Asymmetric Co-Bootstrapping for Efficient Real-World Online RL of Vision-Language-Action Models", "summary": "Researchers introduced VLA-Precision, a method using asymmetric co-bootstrapping for efficient real-world online reinforcement learning of vision-language-action models, addressing the unreliability of pretrained VLA models in tasks requiring precision and repeatability. The approach enables autonomous trial-and-error improvement of VLA post-training beyond demonstrations alone.", "body_md": "Pretrained vision-language-action (VLA) models enable broad manipulation but remain unreliable in tasks demanding precision and repeatability. Applying real-world online reinforcement learning (RL) to VLA post-training enables autonomous trial-and-error improvement beyond demonstrations alone, but e", "url": "https://wpnews.pro/news/vla-precision-asymmetric-co-bootstrapping-for-efficient-real-world-online-rl-of", "canonical_source": "https://aiflash.com/news/127750/", "published_at": "2026-09-28 11:30:11+00:00", "updated_at": "2026-09-28 11:48:07.674067+00:00", "lang": "en", "topics": ["robotics", "machine-learning", "ai-research", "large-language-models"], "entities": ["VLA-Precision"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/vla-precision-asymmetric-co-bootstrapping-for-efficient-real-world-online-rl-of", "markdown": "https://wpnews.pro/news/vla-precision-asymmetric-co-bootstrapping-for-efficient-real-world-online-rl-of.md", "text": "https://wpnews.pro/news/vla-precision-asymmetric-co-bootstrapping-for-efficient-real-world-online-rl-of.txt", "jsonld": "https://wpnews.pro/news/vla-precision-asymmetric-co-bootstrapping-for-efficient-real-world-online-rl-of.jsonld"}}