ReAct框架聚合了Action与Reasoning,如下图,让LLM可以通过思考与行动(查询)对环境做出反馈 Reflexion: Language Agents with Verbal Reinforcement Learning Reflex框架引入了Reward,让Environment对当前行动给出一个具体的Reward。Agent会计算一个启发函数h,决定是否重启env,开启新实验(当前决策路径无效、冗余等)。 Reflection...
[1] Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen,Jiakai Tang, Xu Chen, Yankai Lin, et al. A survey on large language model based autonomousagents. arXiv preprint arXiv:2308.11432, 2023. [2] Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen ...
Learning-based Method. In this method, a few agents are initially defined in broad terms. When specific scenarios arise, these pre-defined agents execute sub-tasks while new agents are subsequently generated to handle brand-new tasks, thereby adapting to new circumstances. Typically, the creation ...
作者| 李皓辰 该工作主要梳理了LLM-based Agent 中的规划(planning)能力。 Paper:Understanding the planning of LLM agents: A survey ArXiv:https://arxiv.org/abs/2402.02716 文章中,作者将planning能力进一步细分为了五个维度: • 任务分解(Tas...
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and FutureO网页链接随着大型语言模型(LLM)的兴起,研究人员越来越探索其在各种垂直领域中的应用,如软件工程。LLM在代码生成和漏洞检测等领域取得了显著成功。然而,它也存在许多局限性和不足之处。LLM基础的智能体是一种具...
Paper:Understanding the planning of LLM agents: A survey ArXiv:https://arxiv.org/abs/2402.02716 文章中,作者将planning能力进一步细分为了五个维度: 1. 引言 (Introduction) 2. 任务分解 (Task Decomposition) 现实世界中的任务通常是复杂和多步骤的,直接通过单步规划过程来解决复杂任务是一项巨大挑战。任务分解...
The Architecture of LLM-MA Systems from Large Language Model based Multi-Agents: A Survey of Progress and Challenge 为了构建一个 Multi-Agent 系统,在 Single-Agent 系统的基础上,需要增加以下组件。 环境Environment:所有 agent 应当处于同一环境,需要共享全局状态,Agent 与环境间存在交互与更新。Agent 通过 ...
本部分主要参考Large Language Model based Multi-Agents: A Survey of Progress and Challenges Agent 系统通过利用大语言模型的归纳推理能力,通过重复执行、观察、反思等步骤,并配合工具使用完成用户需求。在此过程中,可能包含与用户的多轮交互。相比于单 Agent 系统,多 Agent 系统通过以下方式提供更高级的能力: ...
Paper:Understanding the planning of LLM agents: A survey ArXiv:https://arxiv.org/abs/2402.02716 解释 文章中,作者将planning能力进一步细分为了五个维度: • 任务分解(Task Decomposition) • 规划选择(Plan Selection) • 外部辅助规划(External Planner) ...
The pursuit of more intelligent and credible autonomous systems, akin to human society, has been a long-standing endeavor for humans. Leveraging the exceptional reasoning and planning capabilities of large language models (LLMs), LLM-based agents have been proposed and have achieved remarkable success...