AI RESEARCH

CA2: Code-Aware Agent for Automated Game Testing

arXiv CS.LG

ArXi:2605.13918v1 Announce Type: cross Automated game testing is important for verifying game functionality, but it remains a costly and time-consuming process. Manual testing often misses edge cases, and current automated methods struggle to provide full code coverage. Prior work has explored reinforcement learning (RL) for game testing, but without leveraging internal code signals such as the call stack. We present Code Aware Agent (CA2), which uses call stack information to learn effective testing strategies.