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This paper proposes a dual-loop self-evolution framework for multi-turn empathetic dialogue, using verifiable emotion feedback to optimize policy and adapt training distribution. On SAGE, it improves Qwen3-8B Overall from 53.87 to 79.24, outperforming uniform emotion-reward RL by 7.23 points.