Alternatives and similar repositories for snake-ai-reinforcement

Users that are interested in snake-ai-reinforcement are comparing it to the libraries listed below

• 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…
  ☆189Updated last year
• Kautenja / playing-mario-with-deep-reinforcement-learning
  An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
  ☆73Updated 4 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.
  ☆372Updated 2 years ago
• tychovdo / PacmanDQN
  Deep Reinforcement Learning in Pac-man
  ☆286Updated last year
• ppaquette / gym-super-mario
  Gym - 32 levels of original Super Mario Bros
  ☆290Updated 6 years ago
• gabrielgarza / openai-gym-policy-gradient
  Reinforcement Learning using Policy Gradient to solve OpenAI Gym games
  ☆112Updated 7 years ago
• AndersonJo / dqn-pytorch
  Deep Q Learning via Pytorch
  ☆86Updated 7 years ago
• colinskow / move37
  Coding Demos from the School of AI's Move37 Course
  ☆183Updated 6 years ago
• lilianweng / deep-reinforcement-learning-gym
  Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
  ☆304Updated 2 years ago
• Anjum48 / rl-examples
  Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
  ☆103Updated 5 years ago
• shivaverma / OpenAIGym
  Solving OpenAI Gym problems.
  ☆187Updated 4 years ago
• mehdiboubnan / Deep-Reinforcement-Learning-applied-to-DOOM
  DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
  ☆87Updated 4 years ago
• shalabhsingh / A3C_Keras_FlappyBird
  Use Asynchronous advantage actor-critic algorithm (A3C) to play Flappy Bird using Keras
  ☆39Updated 8 years ago
• marctuscher / DRQN-tensorflow
  Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
  ☆175Updated 2 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆395Updated 7 years ago
• fg91 / Deep-Q-Learning
  Tensorflow implementation of Deepminds dqn with double dueling networks
  ☆216Updated 5 years ago
• flyyufelix / VizDoom-Keras-RL
  Reinforcement Learning in Keras on VizDoom
  ☆142Updated 7 years ago
• llSourcell / actor_critic
  This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube
  ☆75Updated 7 years ago
• inoryy / tensorflow2-deep-reinforcement-learning
  Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"
  ☆206Updated 4 years ago
• takuseno / ppo
  Proximal Policy Optimization implementation with TensorFlow
  ☆106Updated 7 years ago
• LuEE-C / PPO-Keras
  My implementation of the Proximal Policy Optisation algorithm using Keras as a backend
  ☆88Updated 5 years ago
• tokb23 / dqn
  DQN implementation in Keras + TensorFlow + OpenAI Gym
  ☆158Updated 7 years ago
• openai / gym-soccer
  ☆304Updated 2 years ago
• yrlu / reinforcement_learning
  Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
  ☆151Updated 2 years ago
• Kojoley / atari-py
  An `openai/atari-py` fork with Windows support and removed zlib/libpng dependencies. Binaries (wheels) are on "Releases" tab.
  ☆182Updated 3 years ago
• Kyushik / DRL
  Repository for codes of 'Deep Reinforcement Learning'
  ☆218Updated 6 years ago
• greydanus / baby-a3c
  A high-performance Atari A3C agent in 180 lines of PyTorch
  ☆172Updated 4 years ago
• jaybutera / tetrisRL
  A Tetris environment to train machine learning agents
  ☆71Updated 2 years ago
• gsurma / atari
  AI research environment for the Atari 2600 games 🤖.
  ☆257Updated 3 years ago
• rockingdingo / gym-gomoku
  OpenAI Gym Env for game Gomoku(Five-In-a-Row, 五子棋, 五目並べ, omok, Gobang,...)
  ☆88Updated last year