Pytorch-DDQN implemantaion on Super Mario Brothers
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Updated
Jul 7, 2018 - Python
Pytorch-DDQN implemantaion on Super Mario Brothers
PyTorch Implementation of DQN and training Super Mario Bros
Control Super Mario Bros Level 1-1 using a MIDI Keyboard. Made for MHacks 11.
Super Mario Bros spinoff written in Python
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
NEAT algorithm for learning to play Super Mario Bros
This is a Python project that I made while learning Pycharm and it's made in breaks, hence the code is not very refined. It basically features lvl 1 of Super Mario Bros world.
Simple Mario Bros engine made in python using pygame library
🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game
Ritchie CLI formulas with games 👾
Various Deep RL models applied to Super Mario Bros
Genetic Algorithm that plays Super Mario Land
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.
The feminist Mario Bros. (Not to be taken seriously)
A remake of the Super Mario Bros game written in Python using Pygame
Play Super Mario Bros Game using Double Deep Q Network implemented in PyTorch.
super mario in python and pygame
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