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arXiv AI By Yixu Huang, Bo Li, Na Li, Zhe Wang, Kaijie Chen, Haonan Ge, Qingyi Si, Yuanzhe Shen, Ruihan Yang, Guangjing Wang, Hongcheng Guo

GUI Agents for Continual Game Generation

Read the original on arXiv AI →

The paper introduces GUI agents for continual game generation, presenting PlaytestArena—a benchmark of 200 browser-based game-generation tasks with rubrics for in‑play behavior—and Play2Code, an iterative framework where a game agent and a rubric‑blind GUI playtester refine games through shared memory. Play2Code achieves a 66.8% rubric pass rate, surpassing baseline methods by 37.1 and 14.6 points, and shows consistent score improvement across refinement rounds. The study demonstrates that GUI playtesting provides actionable, traceable feedback that can guide interactive code generation.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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