szmyty / OpenAI-Retro-SuperMarioWorld-SNESLinks
This project contains my implementation of the NEAT-Python algorithm to use a recurrent neural network that enables an AI-controlled Mario to train itself to complete levels in "Super Mario World" on SNES. I used the gym-retro-integration program to create my own variables from the game's RAM values and then used those variables to reward/penali…
☆27Updated 5 years ago
Alternatives and similar repositories for OpenAI-Retro-SuperMarioWorld-SNES
Users that are interested in OpenAI-Retro-SuperMarioWorld-SNES are comparing it to the libraries listed below
Sorting:
- This program evolves an AI using the NEAT algorithm to play Super Mario Bros.☆106Updated 2 years ago
- An environment of the board game Go using OpenAI's Gym API☆172Updated 3 years ago
- Genetic learning algorithm implementation for simulations, games, or general machine learning problems☆48Updated 3 years ago
- Open source collection of Reinforcement Learning Environments.☆76Updated last year
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆72Updated 4 years ago
- A deep reinforcement learning bot that plays tetris☆302Updated 9 months ago
- Solving OpenAI Gym problems.☆187Updated 4 years ago
- ☆373Updated 3 years ago
- Retro Games in Gym☆54Updated last year
- A checkers reinforcement learning AI, and all the tools needed to train it.☆56Updated 5 years ago
- An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES☆765Updated last year
- Fall Guys☆257Updated 4 years ago
- ☆91Updated 4 years ago
- Retro games for Reinforcement Learning☆254Updated last week
- A simple chess environment for openai/gym☆160Updated last year
- Deep Reinforcement learning and Python learn how to play the original Super Mario Bros☆29Updated 6 years ago
- OpenAI's cartpole env solver.☆156Updated 2 years ago
- An OpenAI gym environment made for RL☆68Updated last year
- 🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄☆120Updated 2 weeks ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆368Updated last year
- Use reinforcement learning to train a flappy bird which NEVER dies in Python.☆36Updated 5 years ago
- An AI that learns to play Super Smash Bros. Melee via imitation learning☆23Updated last year
- Selfplay In MultiPlayer Environments☆321Updated 11 months ago
- Reinforcement learning tutorials☆385Updated 2 years ago
- A Tetris environment to train machine learning agents☆69Updated last year
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆126Updated 5 years ago
- Code from "Intro to OpenAI Gym" tutorial video: https://youtu.be/8MC3y7ASoPs☆69Updated 6 years ago
- Code to all the Games I made using Python Programming Language☆109Updated 2 months ago
- DOOM DQN Agents in Tensorflow 2, and Pytorch.☆10Updated 4 years ago
- NEAT implementation for Flappy Bird game☆23Updated 4 years ago