Implementation of some Deep Reinforcement Learning algorithms and environments.
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Updated
Oct 26, 2023 - Python
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
Multiagent system for transportation planning
UC-Berkely Pacman
Collection of Pacman AI solutions from the UC Berkeley AI course
Use of potential field control in multi agent system game application.
Intelligent and Quality of Service-Aware Routing in Hierarchical Software-Defined Networking using Multi Agent Reinforcement Learning
Homework and implementation of course CS188.
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.
Let me try discovery a city with amazing agents. Documentation:
Aplicación desarrollada con multiagentes, donde tenemos un agente grupo de juego que gestiona las partidas y un agente jugador barquitos que es el que sabe todas las reglas del juego de los barquitos para poder jugar correctamente.
Реализация алгоритма вычисления среднего значения агентов с использованием JADE. Практическое задание курса мультиагентных технологий в СПБГУ.
Implementation of Berkeley's Pacman Project as a part of Artificial Intelligence course.
Multi Agent Simulation of a Simple Firearm Debate using Mesa
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