Yongkang Yang
1 indexed paper
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126
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AI×1
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2026
Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents
The paper introduces Metacognitive Memory Policy Optimization (MMPO), a novel memory training approach that optimizes LLM memory not based on final task success, but on minimizing epistemic uncertainty in intermediate summaries, significantly improving long-horizon agent performance.
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Papers
cs.AIRecentMay 28, 2026
Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents
Ziyan Liu, Zhezheng Hao, Yeqiu Chen, Hong Wang +6 more
The paper introduces Metacognitive Memory Policy Optimization (MMPO), a novel memory training approach that optimizes LLM memory not based on final task success, but on minimizing epistemic uncertaint…
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