TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL 事件

TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL arXiv:2606.01599v1 Announce Type: new Abstract: Reinforcement learning (RL) for visual reasoning needs scalable, verifiable, and controllable training signals. Existing visual RL post-training trains on static curated datasets, with fixed image-question-answer samples bounded by their collection budget. In this work, we introduce TRON (Targeted, Rule-verifiable Online eNvironments), an online environment substrate: a tra