Keras implementation of Curiosity-driven Exploration by Self-supervised Prediction

Learning to play supermario using A3C algorithm

Deep-Reinforcement-Learning with A3C in 'Super Mario Bros' (NES, 1985)

🕹Solving Mario game with a genetic algorithm.

A solution to Super Mario game with genetic algorithm.

Durham University, Dissertation: 1st - 92. Additional Materials and Codebase for the paper: Combining Recent Advances in Reinforcement Learning for Super Mario Bros. - Recurrent Replay Deeper Denser Distributed DQN+ (R2D4+).

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

A simple version of the classic Mario game playable on your Terminal

SMRP (Or super Mario retexturing program) is a program made to allow you to play SM64 and swap faces, texture packs and more without having to touch any files yourself.

Implementing genetic algorithm.

🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄