GAMEGO: Training game-dev agents with synthetic trajectories anchored in real-world assets
Read the original at arxiv.org→arXiv:2610.06910v1 Announce Type: new Abstract: Recent advances in Large Language Models (LLMs) have demonstrated remarkable capabilities in web front-end execution, with browser-based game generation emerging as a...
Original headline: "GAMEGO: Training Game-Dev Agents with Synthetic Trajectories Anchored in Real-World Assets"
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- Oct 7, 04:00 UTC arXiv cs.AI lead source GAMEGO: Training Game-Dev Agents with Synthetic Trajectories Anchored in Real-World Assets