An ecologically inspired multi-agent system. Agents are designed with neural network based decision making, and complex resource requirements.

The purpose of this simulator is simulates and allows visualization of the evacuation process of people located in buildings during emergencies.

Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles

Implementation of Hierarchical Control for Head-to-Head Autonomous Racing paper

A Simulation System for Implementing and Testing Multi-Agent Reinforcement Learning Algorithms

A multi-agent workflow that resolve tasks using powershell

GIANT is an open-source project that provides a flexible architecture for training intelligent agents using various machine learning techniques in diverse simulation environments.

Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles

🚀 This is MultiAgentOrchestration. We built it to [short goal — e.g., speed up dev, solve X pain point, play with AI, etc.]. If you’re someone who loves to tinker, break things, experiment, or you’re just another geek → welcome aboard!

C#, ActressMAS | P2P Multi-Agent System for microgrid energy trading using auction protocols

CAB is a Unity game developed for the Autonomous Agents and Multi-Agent Systems course of IST

💀 A Unity-based multi-agent simulation where autonomous robots collect and deliver objects using computer vision (YOLO v5) and smart navigation. Features real-time performance tracking, collision avoidance, and inter-agent communication in a dynamic 3D environment.

Assignment 1 in course DD2438 Artificial Intelligence and Multi Agent Systems at KTH Royal Institute of Technology.

Assignment 3 in course DD2438 Artificial Intelligence and Multi Agent Systems at KTH Royal Institute of Technology.

Assignment 2 in course DD2438 Artificial Intelligence and Multi Agent Systems at KTH Royal Institute of Technology.

This project is a C# Windows Forms desktop application, which allows tracking multiple robots using an overhead camera feed, as well as issuing the corresponding motion commands to the robots wirelessly.

FIVE: Flexible Intelligent Virtual Environment designer

[C#] Multi-agent system - Laptop Choices