For-fun CherryPy project of a simple simulation with reactive agents

In this project, agents are designed for the classic version of Pacman, including ghosts. Mini-max, Alpha-Beta pruning, Expectimax techniques were used to implement multi-agent pacman adversarial search.

Mini-max, Alpha-Beta pruning, Expectimax techniques are used to implement multi-agent pacman adversarial search.

an implementation of CommNet

`通用智慧`是否存在？

A multi agent re-enforcement learning environment for many on many bot fights between space ships

A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.

Developing AI search agents to win Pacman.

Contains algorithms to train Pacman agent to find/eat food particles .Multi-Agent Algorithms are also used.

Implementation of the paper Auction-Based Multi-Robot Routing in Python.

Contains a series of mini-projects based on UC Berkeley Pacman Projects & UArizona Hunt The Wumpus Project

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

A collection of multi-agent reinforcement learning OpenAI gym environments

Container handling problem solved using multi-agent model

🛸 An implementation of multi-agent flocking formation control with specific formations that can follow a target without collision and can avoid obstacles.

Simples implementação de Halite2

This repository is the official implementation of Learning Graphon Mean Field Games and Approximate Nash Equilibria.

An Eclectic and Malleable Multi-Chatbot Framework

UC-Berkely Pacman