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MemCo: Memory-Centric Collaboration for Generalizing LLM Agents to Unseen Environments
Large language model (LLM) agents increasingly operate in interactive environments, where they need to make sequential decisions through observation, action, and feedback. Although memory can help agents reuse experience, existing work designs memory in isolation, where collecting enough trajectorie
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