AIBullisharXiv – CS AI · 18h ago7/10
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AliyunConsoleAgent: Training Web Agents in Real-World Cloud Environments via Distillation and Reinforcement Learning
Researchers introduce AliyunConsoleAgent, a framework that trains cost-efficient web agents to automate documentation verification in cloud consoles through a combination of supervised learning from proprietary model trajectories and reinforcement learning in real cloud environments. The 32B parameter model achieves 63.52% success rate on a challenging benchmark, approaching proprietary frontier models at 92% lower inference cost.