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predictive dual-state adaptation

topic1 events
papersTODAY 04:00 UTC

MMLA: Memory-Mediated Learning Architecture for Predictive Dual-State Adaptation

A new arXiv paper proposes a Memory-Mediated Learning Architecture (MMLA) that splits a learning system into slow base parameters, a bounded numerical policy carrier, and a bounded authoritative memory store. Its Predictive Dual-State Adaptation mechanism uses feedback to update the policy carrier while handling a problem-state component. The work is presented as a preprint on arXiv under cs.LG.

research/arxiv/machine-learning/memory