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Reflexion: Language Agents with Verbal Reinforcement Learning Reflexion is flexible enough to incorporate various types (scalar values or free-form language) and sources (external or internally simulated) of feedback signals, and obtains significant improvements over a baseline agent across diverse tasks (sequential decision-making, coding, language reasoning)
[NeurIPS 2023] Reflexion: Language Agents with Verbal . . . - GitHub This repo holds the code, demos, and log files for Reflexion: Language Agents with Verbal Reinforcement Learning by Noah Shinn, Federico Cassano, Edward Berman, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao We have provided a set of notebooks to easily run, explore, and interact with the results
深入解析Reflexion提示词模式 - AI 数字未来 本报告旨在对Reflexion提示词模式进行深入而全面的阐述。Reflexion是一种新颖的框架,通过语言反馈而非模型权重更新来强化语言智能体,使其能够通过自我反思和经验记忆来优化决策和行为。报告将详细介绍Reflexion的核心概念、工作原理、关键组件(Actor、Evaluator、Self-Reflection)、迭代自我纠正机制