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University of Science and Technology of China
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LLM agents struggle in dynamic environments, but EvoMem boosts their performance by capturing the evolution of memory, leading to better adaptability.
StepPO reveals that aligning policy optimization with agent decision-making steps can lead to superior performance in multi-turn interactions, outperforming traditional RL methods.