Multi-Agent Systems

Multi-Agent Formation Control Based on Deep Reinforcement Learning

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Multi-Agent Formation Control Based on Deep Reinforcement Learning

Previous Review Recommended Article: Control Strategy for Air Combat Swarm Based on Hierarchical Reinforcement Learning Recommended Article: Software-Defined Command and Control System Architecture Design Method This article was published in “Command Information Systems and Technology”, 2023, Issue 5Authors: Wen Yongming, Li Boyan, Zhang Ningning, Li Xiaojian, Xiong Chuyi, Liu JiexiaCitation format:Wen Yongming, Li Boyan, Zhang … Read more

Event-Triggered Distributed Optimization for Model-Free Multi-Agent Systems

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Event-Triggered Distributed Optimization for Model-Free Multi-Agent Systems

Content IntroductionAbstract:This paper studies a class of distributed optimization problems for general nonlinear model-free multi-agent systems. The dynamic model of each agent is unknown, and only input and output data can be obtained. First, by adopting a model-free adaptive control method, the originally unknown nonlinear system is equivalently transformed into a dynamically linearized model. Then, … Read more

Multi-Agent Collaborative Control and Decision-Making in Complex Dynamic Game Environments

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Source: Human-Machine and Cognitive LaboratoryIn complex dynamic game environments, collaborative control and decision-making among multiple agents is often a highly challenging problem, involving theories and technologies from various fields such as game theory, control theory, multi-agent systems, and machine learning. The goal of multiple agents is typically to optimize collective benefits while addressing conflicts and … Read more

Chen Baoyang: AI Art Creation Based on Agents

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Under the Ministry of Culture and Tourism of the People’s Republic of China Sponsored by the China Academy of Art 2025 No. 1 Issue, Total No. 254 Core Journal of Chinese Humanities and Social Sciences Journal AMI Comprehensive Evaluation (A Journal) Source Journal of the Chinese Social Sciences Citation Index (CSSCI) Extended Edition RCCSE Chinese … Read more

MetaGPT: A Revolutionary Framework for Software Development Based on Multi-Agent Systems

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MetaGPT: A Revolutionary Framework for Software Development Based on Multi-Agent Systems

MetaGPT is a groundbreaking open-source project that simulates the complete operation process of a software company through a multi-agent system. The project has not only gained recognition in academia (ICLR 2024 oral presentation, top 1.2%) but also demonstrates strong practical application value. By organizing large language models (LLM) into different professional roles, MetaGPT can transform … Read more

What Is LangGraph and Its Applications in Agent Frameworks

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What Is LangGraph and Its Applications in Agent Frameworks

1. What Is LangGraph Why Use LangGraph? Developing agents using frameworks like langchain involves significant development effort, lacks flexibility, and incurs high modification costs. Reducing development effort while increasing the flexibility of agents is a key point for promoting agents. LangGraph supports production-grade agents and is trusted by companies like Linkedin, Uber, Klarna, and GitLab. … Read more

Developer Guide to the CrewAI Agent Framework in Python

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Developer Guide to the CrewAI Agent Framework in Python

Unlike traditional isolated single-agent systems, CrewAI introduces autonomous AI agents that can work collaboratively. Translated from Developer Guide to the CrewAI Agent Framework for Python, by Janakiram MSV. CrewAI is one of the most popular Python frameworks designed for intelligent multi-agent collaboration—transforming how developers handle complex AI workflows. Unlike traditionally standalone single-agent systems, CrewAI introduces … Read more

Multi AI Agent Systems with crewAI

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Multi AI Agent Systems with crewAI

Learn from João Moura, the founder and CEO of crewAI, and explore the key components of multi-agent systems: Role Assignment: Assign dedicated roles to agents Memory: Provide agents with short-term, long-term, and shared memory Tools: Allocate pre-built and custom tools to each agent (e.g., tools for web searches) Focus: Decompose tasks, goals, and tools, and … Read more

Multi-Agent Collaboration Mechanism: A Review of Large Language Models

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Multi-Agent Collaboration Mechanism: A Review of Large Language Models

Source: ZHUAN ZHI This article is approximately 6000 words long and suggests a reading time of 12 minutes. This article provides a comprehensive overview of collaboration in multi-agent systems and proposes a scalable framework to guide future research. With the latest advancements in large language models (LLMs), Agentic Artificial Intelligence (Agentic AI) has made significant … Read more

Three Agents Equal One GPT-4: A Collaborative Framework Based on Open Source Models

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Three Agents Equal One GPT-4: A Collaborative Framework Based on Open Source Models

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and researchers from enterprises. The Community’s Vision is to promote communication and progress between the academic and industrial fields of natural language processing and machine learning, especially for the progress of beginners. Reprinted … Read more