递归游戏创建器：面向体验的产品级智能体式游戏框架

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

October 6, 2026

作者: Jiajun Chen, Haoyu Wu, Mingda Jia, Xihui Liu

cs.AI

摘要

最近的游戏设计智能体在生成可玩游戏方面取得了实质性进展。然而，程序正确性并不能确保玩家获得愉悦的体验。我们提出了递归游戏创建器（Recursive Game Creator），一个面向体验的框架，旨在将智能体游戏开发从粗略的游戏原型推进到有趣的游戏。递归游戏创建器围绕四个组件组织递归开发：设计师、构建器、玩家和评审者。设计师将用户指令和评审者的反馈转化为详细计划。构建器将这些计划转化为候选游戏。代码原生的玩家通过编程接口创建并执行可重用策略，以高效收集多样化的游戏轨迹，减轻由缓慢的基于GUI的收集所导致的评估偏差。评审者使用精心设计的基于轨迹的指标来推断玩家偏好，并结合视觉证据和显式文本偏好，根据特定游戏标准评估游戏。最后，评审者接受更好的版本，并为下一轮提供改进意见，从而闭合递归循环。我们的方法在GameCraft-Bench上取得了77.89的最先进的整体性能。在GameASG-Bench上，它实现了53.2%的严格任务成功率，比同模型基线提高了34.1%，并在所比较的方法中取得了最高的平均运行时检查通过率93.4%。一项用户研究显示，游玩时间更长，评分更高。代码即将发布。

English

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.