Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness
arXiv 人工智能预印本(Atom) · 2026-10-07 00:21 发布 · 2026-10-07 14:51 采集 · Xihui Liu
基本信息
原始数据层(AI 与用户都不会覆盖这些字段)
🌍 国际
技术进展
AI
状态:已分析
综合价值 3.8 / 5
- 来源
- arXiv 人工智能预印本(Atom)(arXiv · INTL)
- 发布时间
- 2026-10-07 00:21
- 采集时间
- 2026-10-07 14:51
- 语言
- en
- 地域置信度
- 65%
- 原始链接
- https://arxiv.org/abs/2610.08621v1
- 内容指纹
- fe60693cccc61c085d1d0bbe1b2b5bd8d08d932f4c218f403bc40fadd216b955
AI 整理
分析于 2026-10-07 14:51(第 1 版,来源:offline)Recent game design agents have made substantial progress in generating playable games.However, program correctness does not ensure an enjoyable experience for players.
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趋势标签: game recursive games reviewer
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仅在合法且采集到正文时显示;否则请查看原文链接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.
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2026-10-07
首次出现
Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness
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