Simulation of corrupting using SMA

Implementation of some Deep Reinforcement Learning algorithms and environments.

An anthill using JaCaMo.

University project. The main idea is to implement Pacman and ghosts as independent intelligent agents.

plugin to use genstar inside the Kepler scientific workflow

Multi-agent system Programming Tasks 2022

Multiagent system for transportation planning

UC-Berkely Pacman

Collection of Pacman AI solutions from the UC Berkeley AI course

Agent basic : Rpi <> Arduino

Container handling problem solved using multi-agent model

Use of potential field control in multi agent system game application.

PFE Self Driving Car Simulator

Intelligent and Quality of Service-Aware Routing in Hierarchical Software-Defined Networking using Multi Agent Reinforcement Learning

Homework and implementation of course CS188.

Implementation of projects 0,1,2,3 of Berkeley's AI course

Explore foundational AI concepts through the Pac-Man projects, designed for UC Berkeley's CS 188 course. Implement search algorithms, multi-agent strategies, and reinforcement learning techniques in Python, emphasizing real-world applications. Engage in the Eutopia Pac-Man contest for a multiplayer capture-the-flag challenge

This Python tool employs multi-agent routing to efficiently handle diverse tasks: one agent generates QR codes, while another retrieves and processes data from a CSV file. Depending on the user's query, the appropriate agent is dynamically selected to provide accurate responses or actions.

Реализация алгоритма вычисления среднего значения агентов с использованием JADE. Практическое задание курса мультиагентных технологий в СПБГУ.