A minimalist multi-agent implementation of the social dilemma problem with governance kernels

This repository serves as a collection of projects completed as part of an AI course.

PettingZoo ConnectFour and TicTacToe examples, configured with Rye as dependency manager

Simple animal in a petting zoo to demo ways to run work with argo workflows.

Implementation of some Deep Reinforcement Learning algorithms and environments.

A PettingZoo AEC environment for Ant Colony Coverage (AC2).

MLPro: Integration PettingZoo

Utiliza algoritmos de RAY[rllib] no ambiente KAS (PettingZoo) com observação em imagem para treinar um agente inteligente. Utiliza CNN (Pytorch) e wrappers da SuperSuit para processar a observação em imagem.

We investigate the (deep) Q-learning algorithm on different environments and measure the performance of our agents.

Reinforcement learning environments for planar robotics based on MuJoCo

Moss is a Python library for Reinforcement Learning.

Play the board game Santorini with this Reinforcement Learning agent and custom Gym environment

An extension of Bomberman game using Multi-Agent Deep Reinforcement Learning with Stable Baselines3, PettingZoo, SuperSuit.

An OpenAI gymnasium environment for the blocksworld planning problem, in 3D, with a GUI

A Multi Particle Environments (MPE) environment compatible with PettingZoo. Cooperative and competitive game environment.

Simple Training and Evaluation of Multi-Agent Environments with Deep Reinforcement Algorithms 🐨

Interactive Multi-Agent Reinforcement Learning Environment for the board game Cathedral using PettingZoo

A custom environment that implements simplified version of BomberMan game for reinforcement learning experiments.

Implementation of Evolutionary Strategies with Multi-Agent Deep Reinforcement Learning in PettingZoo Environments 🦘

predator prey implementation using PettingZoo AEC. Fails to sequentially correct remove dying agents in AEC.