Popular GitHub Repositories for Mario Bros

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

A Real-time Mario Kart 64 AI using ConvNets.

?Reinforcement Learning: Super Mario Bros with dueling dqn?

Official repository for "TOAD-GAN: Coherent Style Level Generation from a Single Example" by Maren Awiszus, Frederik Schubert and Bodo Rosenhahn.

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Random network distillation on Montezuma's Revenge and Super Mario Bros.

My implementation of a reinforcement learning model using Stable-Baselines3 to play the NES Super Mario Bros.

Reinforcement Learning for Super Mario Bros using A3C on GPU

Super Mario Bros training with Ray RLlib DQN algorithm

A Reinforcement Learning agent that learns to play Super Mario Bros.

Mario AI Ensemble

Reinforcement Learning PPO Super Mario Bros Agent

Super Mario Bros. (NES) gameplay dataset for machine learning.

Reinforcement learning algorithms implemented to learn to play Super Mario Bros.

This repository contains implementations for training Super Mario Bros agents using reinforcement learning, featuring standardized preprocessing pipelines and serving as a reproducible RL benchmark environment.

Several approaches using deep reinforcement learning to play Super Mario Bros.