eMEM is a multi-index memory architecture with tiered consolidation and ten recall tools for embodied agents, scoring 80.8 weighted mean on eMEM-Bench covering eight cognitive psychology paradigms and outperforming a flat RAG baseline on context and lure rejection tasks.
Swaroop Guntupalli, Guangyao Zhou, Carter Wendelken, Miguel Lázaro- Gredilla, and Dileep George
2 Pith papers cite this work. Polarity classification is still indexing.
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Exploratory experience produces more spatially organized and transition-preserving predictive representations in maze navigation for both agents and mice.
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eMEM: A Hybrid Spatio-Temporal Memory System For Embodied Agents
eMEM is a multi-index memory architecture with tiered consolidation and ten recall tools for embodied agents, scoring 80.8 weighted mean on eMEM-Bench covering eight cognitive psychology paradigms and outperforming a flat RAG baseline on context and lure rejection tasks.