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This paper proposes multi-strategy utterance generation methods for Emotional Support Conversations (ESC), where each utterance can contain multiple strategy-response pairs. Two generation approaches (All-in-One and One-by-One) enhanced with cognitive reasoning via reinforcement learning are evaluated on the ESConv dataset, demonstrating improved supportive quality and dialogue success.