arxiv
PublishedJune 5, 2026 at 4:00 AM
Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning
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arXiv:2512.09706v2 Announce Type: replace Abstract: The paradigm of agentic AI is shifting from engineered complex workflows to post-training native models. However, existing agents are typically confined to static, predefined action spaces-such as exclusively using APIs, GUI events, or robotic comm
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Originally published on arxiv ↗