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Jing Li

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#artificial intelligence Preprint Oct 2026

All-in-One Memory: Process-Rewarded Reinforcement Learning for Memory Agents

All-in-One Memory (AiO-Mem), which organizes these operations as transitions over a shared evidence state and directly evaluates the semantic quality of each action in a unified reward space, consistently improves answer accuracy over both static memory systems and RL-trained memory agents.

Bing-Bing Wang, Jing-Jie Lin, Wei-Ming Qiao et al. · 0 citations

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