新闻
Do Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers tested whether agent optimization methods maintain gains when applied repeatedly to new tasks over time using Terminal-Bench 2.0.
- 为何重要
- Matters for engineers deploying agents in production where continuous optimization happens as new failures and tasks emerge.
- 注意
- Only RELAI-VCL maintained and improved gains across optimization rounds; other methods either degraded or plateaued, suggesting most gains may not be stable.
- agent
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