the agents in are initialized based on the participant demographic backgrounds in real-world survey datasets. The dataset alignment method can accurately capture theattributesof the
A Review of Motion Planning for Highway Autonomous Driving 推荐一个发表在 IEEE Transactions on Intelligent Transportation Systems(Volume: 21,Issue: 5, May 2020)的综述,大部分的篇幅讲了highway autonomous driving场景下的motion plannning… 论文推土机 文章分享 Large Language Models: A Survey(1) https:...
此外,该研究总结了基于 LLMs 的人工智能代理在社会科学、自然科学和工程学领域的各种应用,以及基于 LLMs 的自主代理常用的评估策略,面临的若干挑战和未来发展方向等。 论文: A Survey on Large Language Model based Autonomous Agents 【ProAgent:利用大型语言模型构建主动式合作AI】 在人机合作中构建具有自适应行为...
A Survey on Large Language Model based Autonomous Agents 北大高林学院的一篇综述,从Construction, Application, Evaluation三个方面介绍了用LLM搭建的Agents,里面讲到的多智能体互动的工作比较多。综述最后还简单介绍了相关领域的未来挑战。以下将LLM-based Autonomous Agent简称为LLM-AA. 1 LLM-AA Construction 对LLM...
🤖 Awesome LLM-based Multi-Agents Papers 🔥 Paper 🔥 🔥Our Survey Paper Our survey about LLM based Multi-Agents is available at: https://arxiv.org/abs/2402.01680 Our summarized LLM-based Multi-Agents architecture is: The Overview table is as follows. More details can be seen in ...
As Large Language Models (LLMs) have shown significant intelligence, the progress to leverage LLMs as planning modules of autonomous agents has attracted more attention. This survey provides the first systematic view of LLM-based agents planning, covering recent works aiming to improve planning abilit...
1.A Survey on Large Language Model based Autonomous Agents2023-11-212.Leveraging Pre-trained Large Language Models to Construct and UtilizeWorld Models for Model-based Task Planning2023-12-013.Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning2023-11-28 4.Towards...
🔥Must-read papers for LLM-based Game agents. 💫Continuously update on a weekly basis.(last update: 2024/08/11) Content Adventure Games Text Adventure Games Video Adventure Games [2023/09]Motif: Intrinsic Motivation from Artificial Intelligence FeedbackICLR 2024[paper][code] ...
一、论文《A survey on large language model based autonomous agents》( 文章链接)二、作者(机构)Lei WANG(人大高瓴人工智能学院), Chen MA*(同前),Xueyang FENG*(同前) 三、发表会议Frontiers Of Co…
行动生成:与普通的LLMs不同,代理可能通过不同的策略和来源采取行动。以下,我们介绍两种常用的行动生成策略。(1)通过记忆回忆的行动。在这种策略中,行动是通过从代理记忆中提取与当前任务相关的信息来生成的。任务和提取的记忆被用作提示,触发代理行动。例如,在Generative Agents [20]中,代理维护一个记忆流,每次采取...