# EnvCraft: Synthesizing Executable Environments in Agentic RL for Claw-like Agent

> *Машиналық аударма (AI-generated content)*

**Published:** 2026 ж. 9 қыркүйек
**Author:** Yirong Zeng, Shen You, Jinhang Feng, Yufei Liu, Xiao Ding, Yutai Hou, Hao Cong, Yuxian Wang, Wu Ning, Wang Xu, Bibo Cai
**Source:** arXiv — cs.AI
**Language:** kk-KZ
**HTML:** https://aiqazaqstan.com/kk/articles/envcraft-synthesizing-executable-environments-in-agentic-rl-for-claw-lik

arXiv:2609.05576v1 Announce Type: new Abstract: The paradigm of LLMs has rapidly shifted from passive language interfaces to autonomous Claw-like agents that execute long-horizon tasks across stateful workspaces. While Agentic Reinforcement Learning (Agentic RL) provides a…

> Материал бастапқы дереккөзден алынған: **arXiv — cs.AI**
> [Толық мәтінді arXiv — cs.AI сайтында оқу](https://arxiv.org/abs/2609.05576)

**Тегтер:** #arXiv

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