# Towards Robust Long-Lived Agents: Benchmarking Experience Lifecycles in Evolving Environments

**Published:** November 5, 2026
**Author:** Shijue Huang, Hangyu Guo, Hengheng Zhang, Guo An, Zhitao He, Qi Tian, Yiren Feng
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/towards-robust-long-lived-agents-benchmarking-experience-lifecycles-in-e

arXiv:2611.05450v1 Announce Type: new Abstract: As agents become more capable, they are moving beyond one-off tasks toward sustained assistance across successive user goals. Such assistance requires agents to discover how unfamiliar environments work, reuse what they learn…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2611.05450)

**Tags:** #arXiv

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