LifeMem: Enabling Lifelong Experience Reuse for LLM Agents
Large language model agents are expected to continuously adapt to new tasks and environments over their lifetime by reusing past experience. However, existing memory-based agents struggle to transfer reusable experience across environments and suffer from catastrophic forgetting as experience accumulated. To address these challenges, we propose LifeMem, a lifelong learning framework that enables agents to transfer knowledge across multiple environments. During learning, LifeMem clusters accumulated interaction trajectories based on underlying workflows to extract reusable skills. When solving
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- LinkedLinked via arxiv author · 85%Yuli Qiu →
“LifeMem: Enabling Lifelong Experience Reuse for LLM Agents”
- LinkedLinked via arxiv author · 85%Yutong Li →
“LifeMem: Enabling Lifelong Experience Reuse for LLM Agents”
- LinkedLinked via arxiv author · 85%Wei Sun →
“LifeMem: Enabling Lifelong Experience Reuse for LLM Agents”
- LinkedLinked via arxiv author · 85%Zeming Liu →
“LifeMem: Enabling Lifelong Experience Reuse for LLM Agents”
- LinkedLinked via arxiv author · 85%Wanxiang Che →
“LifeMem: Enabling Lifelong Experience Reuse for LLM Agents”
- LinkedLinked via arxiv author · 85%Heyan Huang →
“LifeMem: Enabling Lifelong Experience Reuse for LLM Agents”
- LinkedLinked via arxiv author · 85%Haifeng Wang →
“LifeMem: Enabling Lifelong Experience Reuse for LLM Agents”
- LinkedLinked via arxiv author · 85%Yuang Guo →
“LifeMem: Enabling Lifelong Experience Reuse for LLM Agents”