Conceptio
›
Archive
›
arXiv (All)
arXiv (All)
open access
VLA-Precision: Asymmetric Co-Bootstrapping for Efficient Real-World Online RL of Vision-Language-Action Models
Su, Chenyu et al.
arXiv (All) · Papers · License: Open Access
Open Source ↗
Direct PDF ↓
human-computer-interaction
robotics
robotics, artificial intelligence, human-computer interaction, machine learning
This document is indexed with metadata only — full text is not available in the archive for this record.
Open the official source ↗
Related documents
Are Human-Aligned Models Models of Humans? A Turing-Test Gap in Preference Alignment
#1052296
Towards Reliable Underwater Diver-Robot Interaction: Gesture Design, Interaction Logic, and Real-World Evaluation
#1052292
RPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents
#1052293
ScholarStack: Layered Research Asset Orchestration and Cross-Task Reuse for Scientific Agents
#1052298
Density-Ratio Rescoring for Imbalanced Classification Using Raking Duals and Classifier Scores
#1052300
Record
· ID 987847
Retrieved via
Conceptio
— every document is proof-bundled with source, license, and retrieval metadata.