Popular GitHub Repositories for Mario

[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

?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

Mario AI Ensemble

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

ARCore Android Application Sample implemented Sceneform and face augmented

Mario Kart CNN Deep reinforcement learning bot

Custom Reinforcement Learning environment to beat Super Mario World built with retrogym and baselines. Custom Proximal Policy Optimization integration to use keras NN/CNN models.

Use Genetic Algorithm to Teach Mario to Destroy the Game !!!

Use Baseline3 zoo Framework and PPO/QR-DQN algo to train games like super mario tetris etc....

A real-time Mario game-playing AI built on a custom Deep Q-Network.

Playing Super Mario Bros using PPO

A Reinforcement Mario game using the PPO(Proximal Policy Optimization) algorithm and OpenAI gym environment.