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ART is an open-source reinforcement learning framework that enables LLMs to learn from experience and improve agent reliability. It provides serverless RL training infrastructure via Weights & Biases, supporting models like Qwen, Llama, and GPT-OSS with 40% lower costs and 28% faster training cycles.