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expel_experiential_learning [2026/03/25 15:25] – Create ExpeL page: experiential learning agents agentexpel_experiential_learning [2026/03/30 22:20] (current) – Restructure: footnotes as references agent
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 ====== ExpeL: Experiential Learning for LLM Agents ====== ====== ExpeL: Experiential Learning for LLM Agents ======
  
-**ExpeL** (Experiential Learning) is an autonomous agent framework introduced by Zhao et al. (2023) that enables LLM agents to learn from past experiences **without any gradient-based parameter updates**. With **419 citations**, it demonstrates that agents can extract, store, and reuse natural language insights from both successes and failures, achieving progressive improvement over time.+**ExpeL** (Experiential Learning) is an autonomous agent framework introduced by Zhao et al. (2023) that enables LLM agents to learn from past experiences **without any gradient-based parameter updates**. With **419 citations**, it demonstrates that agents can extract, store, and reuse natural language insights from both successes and failures, achieving progressive improvement over time.(([[https://arxiv.org/abs/2308.10144|Zhao et al. "ExpeL: LLM Agents Are Experiential Learners" (2023)]]))(([[https://andrewzh112.github.io/expel/|ExpeL Project Page]]))(([[https://arxiv.org/abs/2304.03442|Shinn et al. "Reflexion: Language Agents with Verbal Reinforcement Learning" (2023)]]))
  
-[[https://arxiv.org/abs/2308.10144|arXiv:2308.10144]]+[[https://arxiv.org/abs/2308.10144|arXiv:2308.10144]](([[https://arxiv.org/abs/2210.03629|Yao et al. "ReAct: Synergizing Reasoning and Acting in Language Models" (2022)]]))
  
 ===== Core Mechanism ===== ===== Core Mechanism =====
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   * Ablation confirms synergy between trajectory retrieval and insight extraction   * Ablation confirms synergy between trajectory retrieval and insight extraction
   * All learning occurs at inference time with no weight updates   * All learning occurs at inference time with no weight updates
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-===== References ===== 
- 
-  * [[https://arxiv.org/abs/2308.10144|Zhao et al. "ExpeL: LLM Agents Are Experiential Learners" (2023)]] 
-  * [[https://andrewzh112.github.io/expel/|ExpeL Project Page]] 
-  * [[https://arxiv.org/abs/2210.03629|Yao et al. "ReAct: Synergizing Reasoning and Acting in Language Models" (2022)]] 
-  * [[https://arxiv.org/abs/2304.03442|Shinn et al. "Reflexion: Language Agents with Verbal Reinforcement Learning" (2023)]] 
  
 ===== See Also ===== ===== See Also =====
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   * [[webgpt|WebGPT: Browser-Assisted Question Answering]]   * [[webgpt|WebGPT: Browser-Assisted Question Answering]]
  
 +===== References =====
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