vivek3141 / super-mario-neatLinks
This program evolves an AI using the NEAT algorithm to play Super Mario Bros.
☆106Updated 3 years ago
Alternatives and similar repositories for super-mario-neat
Users that are interested in super-mario-neat are comparing it to the libraries listed below
Sorting:
- A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning☆27Updated 6 years ago
- TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT☆120Updated last year
- An environment of the board game Go using OpenAI's Gym API☆175Updated 3 years ago
- A simple chess environment for openai/gym☆162Updated last year
- Coding Demos from the School of AI's Move37 Course☆184Updated 6 years ago
- A simple OpenAI Gym environment for single and multi-agent reinforcement learning☆761Updated last year
- Solving OpenAI Gym problems.☆186Updated 4 years ago
- AI research environment for the Atari 2600 games 🤖.☆259Updated 2 years ago
- A Python3 NES emulator and OpenAI Gym interface☆265Updated last year
- Deep Reinforcement learning and Python learn how to play the original Super Mario Bros☆29Updated 6 years ago
- Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.☆117Updated last year
- ☆92Updated 5 years ago
- Reinforcement Learning + Starcraft 2☆152Updated 2 years ago
- Open source collection of Reinforcement Learning Environments.☆76Updated 2 years ago
- Gym - 32 levels of original Super Mario Bros☆289Updated 6 years ago
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆72Updated 4 years ago
- A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface☆384Updated 2 years ago
- DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM☆87Updated 4 years ago
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆264Updated 2 weeks ago
- 🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game☆51Updated 4 years ago
- A grid-world game engine for game AI research☆246Updated last year
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years 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.☆371Updated last year
- Deep Q-learning for playing tetris game☆509Updated 2 years ago
- ☆416Updated 2 years ago
- A PyTorch library for building deep reinforcement learning agents.☆649Updated last year
- Reinforcement learning with tensorflow 2 keras☆253Updated 4 years ago
- Deep reinforcement learning model implementation in Tensorflow + OpenAI gym☆300Updated 2 years ago
- A Real-Time-Strategy game for Deep Learning research☆234Updated 2 years ago
- A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm☆109Updated last year