Agent0: zero-data self-evolving agent framework from Stanford/Salesforce headed to COLM2026
yuyinzhou_cs · x · 2026-10-01
Authors of Agent0 (Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning, arXiv:2511.16043) will present at COLM2026, Oct 6-9; team includes Peng Xia, Can Qin, Caiming Xiong, and Huaxiu Yao.
Per the accompanying discussion thread: existing self-improving agents plateau because they can only generate tasks slightly harder than what they know. Agent0 spawns two agents from one base LLM that compete — a curriculum agent generates tasks — requiring no human labels, curated tasks, or demonstrations, reportedly beating existing self-play methods. Paper and code are public.
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