The research worth reading

Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks

Jie-Jing Shao, Haiyan Yin, Yueming Lyu, et al.

Instead of fine-tuning on traces, this paper induces reusable, programmatic "skills" from an agent's own execution logs using a neuro-symbolic loop — and the skills transfer to new long-horizon tasks. A genuinely different answer to "how do agents get better over time."

arXiv (cs.AI)