AIBullisharXiv – CS AI · 10h ago7/10
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Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory
Researchers propose DeMem, a decision-centric memory framework that optimizes agent memory allocation based on preserving distinctions needed for sound decision-making rather than descriptive accuracy. Using rate-distortion theory, the approach identifies what information can be safely forgotten under memory constraints and demonstrates performance gains on long-horizon language agent tasks.