Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
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Updated
Apr 28, 2024 - Python
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Proximal Policy Optimization (PPO) 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
Classic Super Mario Bros. game implemented with Java for CS319 course
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
Super Mario Bros. Level 1-1 in Javascript using HTML5 Canvas
Recreation of the classic Super Mario Bros game using the Phaser framework, featuring random level generation.
This program evolves an AI using the NEAT algorithm to play Super Mario Bros.
Official repository for "TOAD-GAN: Coherent Style Level Generation from a Single Example" by Maren Awiszus, Frederik Schubert and Bodo Rosenhahn.
An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
A work-in-progress remake of the original Super Mario Bros. for NES, in the browser using canvas and P5JS.
Reinforcement Learning for Super Mario Bros using A3C on GPU
NES emulator transplanted to STM32f103zet6 development board
Random network distillation on Montezuma's Revenge and Super Mario Bros.
The remake of Super Mario Bros (1985) made with C++ and SDL2 library.
A recreation of the Super Mario Game from the Nintendo NES written in C++ using the SDL2 graphics library
Reinforcement Learning PPO Super Mario Bros Agent
A minimal VAE trained on Super Mario Bros levels.
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