MemArbiter: Arbitrating Memory at the Moment of Decision
Y. Dong et al. · 2026
Ce que cela signifie pour vous
Une contrainte que le système connaît mais ne présente pas au modèle au moment de décider est, en pratique, une contrainte qui n'existe pas.
Résumé
Identifies the Memory-Action Gap: in long-horizon agents the bottleneck is neither storing information nor retrieving it, but arbitrating which of it surfaces at the moment a decision is made. MemArbiter organises memory into functional banks (goal, task state, constraint, episodic, reference), scores decision relevance per bank and per item, and applies a temporal gate that deliberately shields goals and constraints from time decay. On unseen ALFWorld tasks it reaches 82.8% success at a fixed 500-token memory budget against 61.9% for flat retrieval, and halves the rate at which an agent repeats an action that has already failed.