GAMEGO: Training Game-Dev Agents with Synthetic Trajectories Anchored in Real-World Assets
arXiv 2610.06910v1•75aada80eae6a453987bfe2299a2e70005a43495d9601594c99e7c4f6c6957ab
Paper metadata
- arXiv ID
- 2610.06910
- Version
- v1
- Category
- cs.AI
- Authors
- Haoyue Yang, Jingyao Li, Zhengfan Wu, Jing Liu, Xuanle Zhao, Kang Liu
- Publication date
- 2026-10-07T04:00:00Z
- Source identifier
- 2610.06910v1
- Public record ID
- record:sha256:75aada80eae6a453987bfe2299a2e70005a43495d9601594c99e7c4f6c6957ab
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- 75aada80eae6a453987bfe2299a2e70005a43495d9601594c99e7c4f6c6957ab
- Record type
- Source metadata
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