skill evolution
The process of developing, refining, or optimizing reusable capabilities in LLM agents through learning, adaptation, or experience accumulation.
- Papers
- 5
- Released code
- 3
- First seen
- June 2026
- Latest
- Sept 2026
4 papers in the last two months, against 1 in the two before.
The papers
Most central to this idea first, not most recent.
- Chinese Techcs.AI
Adam-inspired updates make agent skill evolution steadier and more efficient
Renmin University of China, Tencent · Sept 2026
- Big Techcs.AI
Persistent Wikis Help AI Agents Build Better Transferable Skills
Google Research, Virginia Tech · Aug 2026
- Top Universitycs.AIcode
Bandit-guided skill evolution cuts LLM agent optimization costs
The Chinese University of Hong Kong, Shenzhen, Tianjin University · Sept 2026
- Industrycs.LGcode
Reusing agent trajectories cuts token use on repeated tool tasks
China Telecom Cloud · Sept 2026
- Chinese Techcs.AIcode
Evolutionary training harness co-evolves with LLM policies for RL
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Tongyi Lab , Alibaba Group · June 2026
Concepts are extracted from each paper and reused across the corpus, so this page grows on its own as the desk reads.