A minimalist multi-agent implementation of the social dilemma problem with governance kernels
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Updated
Oct 8, 2023 - Python
A minimalist multi-agent implementation of the social dilemma problem with governance kernels
Reinforcement learning environments for planar robotics based on MuJoCo
This repository serves as a collection of projects completed as part of an AI course.
MLPro: Integration PettingZoo
Moss is a Python library for Reinforcement Learning.
Unity and Python Reinforcement and Imitation Learning with Gymnasium and PettingZoo API.
Interactive Multi-Agent Reinforcement Learning Environment for the board game Cathedral using PettingZoo
Interactive Multi-Agent Reinforcement Learning Environment for the board game Gobblet using PettingZoo.
A PettingZoo AECEnv implementation of the board game Fanorona
Play the board game Santorini with this Reinforcement Learning agent and custom Gym environment
Simple Training and Evaluation of Multi-Agent Environments with Deep Reinforcement Algorithms 🐨
PettingZoo ConnectFour and TicTacToe examples, configured with Rye as dependency manager
Multi-Agent Reinforcement Learning Environment for the card game SkyJo, compatible with PettingZoo and RLLIB
Simple animal in a petting zoo to demo ways to run work with argo workflows.
An extension of Bomberman game using Multi-Agent Deep Reinforcement Learning with Stable Baselines3, PettingZoo, SuperSuit.
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.
Implementation of some Deep Reinforcement Learning algorithms and environments.
A PettingZoo AEC environment for Ant Colony Coverage (AC2).
We investigate the (deep) Q-learning algorithm on different environments and measure the performance of our agents.
Extended, multi-agent and multi-objective (MaMoRL) environments based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.
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