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arXiv:cs.AI· Jiajun Chen, Haoyu Wu, Mingda Jia, Xihui Liu·· 6 小时前AI 评分42

Recursive Game Creator:面向体验的智能体产品级游戏开发框架

Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness

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Recursive Game Creator 是一个面向体验的智能体游戏开发框架,通过 Designer、Builder、Player、Reviewer 四个组件递归迭代,将游戏原型打磨为可玩的娱乐产品。

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Abstract:Recent game design agents have made substantial progress in generating playable games. However, program correctness does not ensure an enjoyable experience for players. We present Recursive Game Creator, an experience-oriented harness to advance agentic game development from rough game prototypes into entertaining games. Recursive Game Creator organizes recursive development around four components: Designer, Builder, Player, and Reviewer. The Designer translates user instructions and Reviewer's feedback into detailed plans. The Builder turns these plans into candidate games. The coding-native Player creates and executes reusable policies through programmatic interfaces to efficiently collect diverse gameplay trajectories, mitigating evaluation bias caused by slow GUI-based collection. The Reviewer uses carefully designed trajectory-based metrics to induce player preferences, integrating with visual evidence and explicit textual preferences to evaluate games against game-specific criteria. Finally, the Reviewer accepts the better version and provides improvement reviews for the next round, closing the recursive loop. Our method achieves state-of-the-art overall performance of 77.89 on GameCraft-Bench. On GameASG-Bench, it achieves a strict task success rate of 53.2%, a 34.1% improvement over the same-model baseline, and the highest mean runtime-check pass rate at 93.4% among compared methods. A user study shows longer playtime and higher ratings. Code is coming soon.
Subjects: Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA); Software Engineering (cs.SE)
Cite as: arXiv:2610.08621 [cs.AI]
  (or arXiv:2610.08621v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2610.08621

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Jiajun Chen [view email]
[v1] Tue, 6 Oct 2026 16:21:44 UTC (34,062 KB)

来源:arXiv:cs.AI · arxiv.org