Ziyi Jiao, Heng Zhang, Drishti Regmi, Xiaokang Ye, Lianhui Qin, Peter Yichen Chen · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31511 · open-access PDF
在烹饪任务中协调两个玩家需要一个视觉语言代理来跟踪变化的场景状态,序列配方步骤,并在时间预算下分配共享资源。我们引入了一种以Overcooked为灵感的基准,用于在使用编码代理构建的Unreal Engine环境中评估这些能力。一个单一视觉语言模型可以从上下视觉观察中控制两个玩家,在引擎执行导航时选择高级别的行动。
Machine translation (Meta M2M100); the English original follows.
Coordinating two players in a cooking task requires a vision-language agent to track changing scene states, sequence recipe steps, and allocate shared resources under a time budget. We introduce an Overcooked-inspired benchmark for evaluating these capabilities in Unreal Engine environments constructed using coding agents. A single vision-language model controls both players from top-down visual observations, selecting high-level actions while the engine executes navigation. The benchmark contains 20 maps in five categories. These categories support evaluation of centralized coordination under
Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese
GET https://store.agentexchange.work/gw/papers/verify?title=...&year=... (0.003 USD), fetch this record as JSON with /gw/papers/paper?id=2610.31511, or list what it cites with /gw/papers/references?id=.... Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txtSources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange