szmyty / OpenAI-Retro-SuperMarioWorld-SNES
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 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for OpenAI-Retro-SuperMarioWorld-SNES
- An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES☆689Updated last year
- A Python3 NES emulator and OpenAI Gym interface☆240Updated last year
- This program evolves an AI using the NEAT algorithm to play Super Mario Bros.☆101Updated 2 years ago
- Retro games for Reinforcement Learning☆184Updated last month
- 🧠 NEAT algorithm applied to Chrome Dinosaur game in Python.☆37Updated 8 months ago
- Solving OpenAI Gym problems.☆183Updated 3 years ago
- Deep Reinforcement learning and Python learn how to play the original Super Mario Bros☆28Updated 6 years ago
- ☆42Updated 4 years ago
- ☆42Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike☆161Updated 5 years ago
- Retro Games in Gym☆53Updated last year
- ☆354Updated 3 years ago
- Developing a neural network to play a snake game☆43Updated 5 years ago
- OpenAI Gym environments for Legends of Code and Magic, a collectible card game designed for AI research☆35Updated 3 weeks ago
- Reinforcement Learning + Starcraft 2☆142Updated 2 years ago
- Tensorflow implementation of Deepminds dqn with double dueling networks☆213Updated 4 years ago
- A deep reinforcement learning bot that plays tetris☆268Updated 2 months ago
- Using the NEAT algorithm to train an AI to play pong in Python!☆76Updated last month
- A simple chess environment for openai/gym☆152Updated 8 months ago
- snake game AI in python☆44Updated 6 years ago
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆70Updated 3 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆173Updated 2 months ago
- An AI that plays flappy bird! Using the NEAT python module.☆741Updated last month
- Game manager and example bots for CEC 2019 & COG 2019 Strategy Card Game AI Competition☆27Updated last year
- ☆89Updated 4 years ago
- Code from "Intro to OpenAI Gym" tutorial video: https://youtu.be/8MC3y7ASoPs☆70Updated 5 years ago
- Tribes is an open source implementation for AI research of the game The Battle of Polytopia☆61Updated 2 years ago
- Double Q-learning reinforcement learning agent on NES Super Mario Bros☆39Updated 5 years ago
- Gym - 32 levels of original Super Mario Bros☆286Updated 5 years ago
- OpenAI's cartpole env solver.☆152Updated last year