[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
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Updated
Dec 7, 2022 - Python
[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
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.
A supercharged fork of the modern day level editor.
🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄
Deep Reinforcement learning and Python learn how to play the original Super Mario Bros
PyTorch Implementation of DQN and training Super Mario Bros
GUI for TOAD-GAN, a PCG-ML algorithm for Token-based Super Mario Bros. Levels.
Several approaches using deep reinforcement learning to play Super Mario Bros.
Mario Kart CNN Deep reinforcement learning bot
SM64EC is a tool created for Super Mario 64 machinima. The tool allows for the quick swapping of Mario's eye texture in-game, giving Mario more character and expression. The goal is to eliminate the constant dragging & dropping of files, or the use of Quad64 or ToadsTools64 for eye textures.
A game inspired by "Super Mario" series, but allowing us to experience the cooking paprika adventures of a REAL superhero.
A live updating leaderboard and chat client for golf video games.
A remake of the Super Mario Bros game written in Python using Pygame
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