Alternatives and similar repositories for cartpole

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

• colinskow / move37
  Coding Demos from the School of AI's Move37 Course
  ☆184Updated 6 years ago
• shivaverma / OpenAIGym
  Solving OpenAI Gym problems.
  ☆186Updated 4 years ago
• fg91 / Deep-Q-Learning
  Tensorflow implementation of Deepminds dqn with double dueling networks
  ☆216Updated 5 years ago
• cyoon1729 / RLcycle
  A library for ready-made reinforcement learning agents and reusable components for neat prototyping
  ☆301Updated last year
• philtabor / Deep-Q-Learning-Paper-To-Code
  ☆418Updated 2 years ago
• Shmuma / ptan
  PyTorch Agent Net: reinforcement learning toolkit for pytorch
  ☆546Updated 10 months ago
• marctuscher / DRQN-tensorflow
  Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
  ☆175Updated 2 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.
  ☆371Updated last year
• lilianweng / deep-reinforcement-learning-gym
  Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
  ☆301Updated 2 years ago
• rlcode / per
  Prioritized Experience Replay (PER) implementation in PyTorch
  ☆349Updated 5 years ago
• openai / gym-soccer
  ☆303Updated 2 years ago
• philtabor / Actor-Critic-Methods-Paper-To-Code
  ☆184Updated 3 years ago
• gsurma / atari
  AI research environment for the Atari 2600 games 🤖.
  ☆259Updated 3 years ago
• germain-hug / Deep-RL-Keras
  Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
  ☆545Updated 5 years ago
• MJeremy2017 / reinforcement-learning-implementation
  Reinforcement Learning examples implementation and explanation
  ☆336Updated last year
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,181Updated 2 years ago
• TianhongDai / reinforcement-learning-algorithms
  This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…
  ☆682Updated 4 years ago
• LuEE-C / PPO-Keras
  My implementation of the Proximal Policy Optisation algorithm using Keras as a backend
  ☆88Updated 5 years ago
• cpnota / autonomous-learning-library
  A PyTorch library for building deep reinforcement learning agents.
  ☆649Updated last year
• Nasdin / ReinforcementLearning-AtariGame
  Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…
  ☆188Updated 11 months ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆575Updated 2 years ago
• the-computer-scientist / OpenAIGym
  Code from "Intro to OpenAI Gym" tutorial video: https://youtu.be/8MC3y7ASoPs
  ☆69Updated 6 years ago
• araffin / rl-tutorial-jnrr19
  Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
  ☆702Updated 2 years ago
• msinto93 / D4PG
  Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…
  ☆126Updated 5 years ago
• mrahtz / learning-from-human-preferences
  Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
  ☆327Updated 3 years ago
• seungjaeryanlee / awesome-rl-competitions
  List of competitions related to Reinforcement Learning
  ☆350Updated last year
• rgilman33 / simple-A2C-PPO
  Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.
  ☆101Updated 5 years ago
• gabrielgarza / openai-gym-policy-gradient
  Reinforcement Learning using Policy Gradient to solve OpenAI Gym games
  ☆113Updated 7 years ago
• koulanurag / ma-gym
  A collection of multi agent environments based on OpenAI gym.
  ☆610Updated last year
• sisl / MADRL
  Repo containing code for multi-agent deep reinforcement learning (MADRL).
  ☆713Updated 2 years ago