## Computer Science > Artificial Intelligence ## Title:GAMEGO: Training Game-Dev Agents with Synthetic Trajectories Anchored in Real-World Assets > 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 particularly prominent frontier. While previous efforts frequently rely on complex multi-turn workflows or focus on static game evaluation benchmarks, this work targets direct end-to-end real-world game synthesis driven by coding agents. However, generating complex games…