Alternatives and similar repositories for OpenAIGym

Users that are interested in OpenAIGym are comparing it to the libraries listed below

• colinskow / move37
  Coding Demos from the School of AI's Move37 Course
  ☆182Updated 7 years ago
• shivaverma / OpenAIGym
  Solving OpenAI Gym problems.
  ☆187Updated 4 years ago
• PacktPublishing / Python-Reinforcement-Learning-Projects
  Python Reinforcement Learning Projects, published by Packt
  ☆203Updated 2 years ago
• sudharsan13296 / Deep-Reinforcement-Learning-With-Python
  Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
  ☆453Updated 4 years ago
• philtabor / Reinforcement-Learning-In-Motion
  Code repository for my course on the fundamentals of reinforcement learning
  ☆95Updated 6 years ago
• philtabor / Deep-Q-Learning-Paper-To-Code
  ☆434Updated 2 years ago
• MJeremy2017 / reinforcement-learning-implementation
  Reinforcement Learning examples implementation and explanation
  ☆340Updated last year
• gsurma / cartpole
  OpenAI's cartpole env solver.
  ☆155Updated 2 years ago
• PacktPublishing / Hands-On-Intelligent-Agents-with-OpenAI-Gym
  Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTo…
  ☆392Updated 2 years ago
• lilianweng / deep-reinforcement-learning-gym
  Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
  ☆308Updated 2 years ago
• PacktPublishing / Reinforcement-Learning-Algorithms-with-Python
  Reinforcement Learning Algorithms with Python, Published by Packt
  ☆187Updated 2 years ago
• philtabor / Youtube-Code-Repository
  Repository for most of the code from my YouTube channel
  ☆933Updated 2 years ago
• PacktPublishing / PyTorch-1.x-Reinforcement-Learning-Cookbook
  PyTorch 1.x Reinforcement Learning Cookbook, published by Packt
  ☆101Updated 2 years ago
• fg91 / Deep-Q-Learning
  Tensorflow implementation of Deepminds dqn with double dueling networks
  ☆217Updated 5 years ago
• dalmia / udacity-deep-reinforcement-learning
  My solutions to the projects (and mini-projects) of the Deep Reinforcement Learning Nanodegree by Udacity
  ☆63Updated 3 years ago
• shivaverma / Orbit
  Open source collection of Reinforcement Learning Environments.
  ☆75Updated 2 years ago
• PacktPublishing / Tensorflow-2-Reinforcement-Learning-Cookbook
  Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
  ☆197Updated last week
• llSourcell / actor_critic
  This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube
  ☆75Updated 8 years ago
• pythonlessons / Reinforcement_Learning
  Reinforcement learning tutorials
  ☆391Updated 2 years ago
• cyoon1729 / RLcycle
  A library for ready-made reinforcement learning agents and reusable components for neat prototyping
  ☆300Updated last year
• gsurma / atari
  AI research environment for the Atari 2600 games 🤖.
  ☆260Updated 3 years ago
• shakedzy / notebooks
  Some notebooks
  ☆64Updated 4 years ago
• inarikami / keras-rl2
  Reinforcement learning with tensorflow 2 keras
  ☆252Updated 4 years ago
• philtabor / Actor-Critic-Methods-Paper-To-Code
  ☆187Updated 3 years ago
• Stable-Baselines-Team / rl-colab-notebooks
  Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
  ☆244Updated 11 months ago
• sebtheiler / tutorials
  All of the code for my Medium articles
  ☆135Updated 4 years ago
• PacktPublishing / Deep-Reinforcement-Learning-with-Python
  Deep Reinforcement Learning with Python, Second Edition, published by Packt
  ☆205Updated last week
• sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python
  Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
  ☆862Updated 5 years ago
• diegoalejogm / Reinforcement-Learning
  Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)
  ☆158Updated 5 years ago
• MattChanTK / gym-maze
  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.
  ☆375Updated 2 years ago