HALO-WA: Hybrid-Attention Latent-Guided Online Reinforcement Learning for World-Action Models.

arXiv:2607.04265v2 Announce Type: replace-cross Abstract: World-action (WA) models can generate long-horizon action chunks for general-purpose robotic manipulation, but they remain vulnerable to calibration, perception, and contact-dynamics errors in real-worl