| title | Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness |
|---|---|
| authors | Jiajun Chen, Haoyu Wu, Mingda Jia, Xihui Liu |
| date | 2026-10-06 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2610.08621 |
| affiliation | The University of Hong Kong |
| upvotes | 74 (Hugging Face Daily Papers, 2026-11-01) |
| links | abs pdf hf code |
| 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. |
cite
@misc{chen2026recursive,
title={Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness},
author={Jiajun Chen and Haoyu Wu and Mingda Jia and Xihui Liu},
year={2026},
eprint={2610.08621},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2610.08621}
}