Alternatives and similar repositories for OpenAI-NEAT:

Users that are interested in OpenAI-NEAT are comparing it to the libraries listed below

• llSourcell / deep_q_learning
  This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube
  ☆161Updated 7 years ago
• llSourcell / neuroevolution-for-flappy-birds
  This is the code for "AI that Creates AI" By Siraj Raval on Youtube
  ☆66Updated 7 years ago
• ppaquette / gym-super-mario
  Gym - 32 levels of original Super Mario Bros
  ☆288Updated 6 years ago
• llSourcell / Game-AI
  Game AI for Machine Learning for Hackers #3
  ☆156Updated 8 years ago
• dhruvp / atari-pong
  Neural Networks For Playing Pong
  ☆77Updated 8 years ago
• vanhooser / TF-Genetic
  Evolutionary Neural Networks backed by TensorFlow and pure Python
  ☆108Updated 8 years ago
• llSourcell / AI_for_Video_Games_Syllabus
  This is the Sylllabus for Siraj Raval's Reinforcement Learning course "AI for Video Games" on Youtube
  ☆64Updated 7 years ago
• llSourcell / A-Guide-to-DeepMinds-StarCraft-AI-Environment
  This is the code for "A Guide to DeepMind's StarCraft AI Environment" by Siraj Raval on Youtube
  ☆210Updated 4 years ago
• llSourcell / actor_critic
  This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube
  ☆75Updated 7 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆155Updated 6 years ago
• llSourcell / differentiable_neural_computer_LIVE
  ☆90Updated 7 years ago
• llSourcell / navigating_a_virtual_world_with_dynamic_programming
  This is the code for "Navigating a Virtual World Using Dynamic Programming" by Siraj Raval on Youtube
  ☆57Updated 7 years ago
• llSourcell / q_learning_demo
  This is the code for "How to use Q Learning in Video Games Easily" by Siraj Raval on Youtube
  ☆113Updated 6 years ago
• ppaquette / gym-doom
  Gym - Doom environments based on VizDoom.
  ☆102Updated 8 years ago
• EmbersArc / PPO
  PPO implementation for OpenAI gym environment based on Unity ML Agents
  ☆149Updated 7 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆70Updated 4 years ago
• mhauskn / HyperNEAT
  The original implementation of HyperNEAT in C++
  ☆28Updated 8 years ago
• kvfrans / openai-cartpole
  random search, hill climbing, policy gradient
  ☆140Updated 6 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆611Updated last year
• llSourcell / pong_neural_network_live
  This is the code for "Pong Neural Network(LIVE)" by @Sirajology on Youtube
  ☆104Updated 7 years ago
• CarlBeek / coaster_racer_coding_challenge
  Q-Learning Attempt at Sirajology's CoasterRacer Coding Challenge
  ☆40Updated 2 years ago
• MartinThoma / banana-gym
  A simple stochastic OpenAI environment for training RL agents
  ☆89Updated 2 years ago
• llSourcell / OpenAI_Game_Bot_Live_stream
  This is the code for the "How to Install OpenAI's Universe and Make a Game Bot" live session by Siraj Raval on Youtube
  ☆40Updated 7 years ago
• FitMachineLearning / FitML
  A collection of python Machine Learning articles and examples. You will find code related to Reinforcement Learning, Q Learning, MDP, Bel…
  ☆187Updated 2 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆810Updated 3 years ago
• rsk2327 / NEAT_FlappyBird
  NEAT implementation for Flappy Bird game
  ☆23Updated 4 years ago
• openai / robosumo
  Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
  ☆307Updated last year
• mrahtz / ocd-a3c
  TensorFlow implementation of asynchronous advantage actor-critic (A3C)
  ☆39Updated 3 years ago
• openai / gym-soccer
  ☆303Updated last year
• asingh33 / SupervisedChromeTrex
  In this project I will try to train Chrome's Trex/Dino character to learn to play by looking my gameplay (Supervised).
  ☆101Updated 3 years ago