Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
Play games without touching keyboard
一步步实现简易红白机模拟器运行超级玛丽，以https://github.com/amhndu/SimpleNES 为模板
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.
Recreation of the classic Super Mario Bros game using the Phaser framework, featuring random level generation.
An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
Classic Super Mario Bros. game implemented with Java for CS319 course
The remake of Super Mario Bros (1985) made with C++ and SDL2 library.
Random network distillation on Montezuma's Revenge and Super Mario Bros.
Reinforcement Learning for Super Mario Bros using A3C on GPU
An open source reimplementation of Super Mario Bros. 2 written in Lua and LÖVE.
Super Mario bros game using Rust Piston game engine
Super Mario Bros. Level 1-1 in Javascript using HTML5 Canvas
A work-in-progress remake of the original Super Mario Bros. for NES, in the browser using canvas and P5JS.
My implementation of a reinforcement learning model using Stable-Baselines3 to play the NES Super Mario Bros.
🎮 An attempt to create Super Mario Bros using Compose for Desktop
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