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EpiCon: Collective Agent Learning through Co-Evolving Multimodal Memory

Zeng, Ziyun et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Agents can learn from past executions, but enabling different agents to reuse and build on one another's experience remains challenging. We introduce EpiCon, a shared multimodal memory framework for agent collective learning without updating host model parameters. EpiCon links question-level memory
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