ThunderSyncRL: Lossless Acceleration of Agentic Reinforcement Learning.

arXiv:2610.05935v1 Announce Type: cross Abstract: Language models are moving beyond generating answers to pursuing long-horizon goals in interactive environments. Post-training these agents requires long, heterogeneous trajectories, and synchronous systems lea