Alternatives and similar repositories for gym-tetris

Users that are interested in gym-tetris are comparing it to the libraries listed below

• jaybutera / tetrisRL
  A Tetris environment to train machine learning agents
  ☆68Updated last year
• Kautenja / gym-tetris
  An OpenAI Gym interface to Tetris on the NES.
  ☆52Updated last year
• brendanator / atari-rl
  Atari - Deep Reinforcement Learning algorithms in TensorFlow
  ☆135Updated last year
• AndersonJo / dqn-pytorch
  Deep Q Learning via Pytorch
  ☆86Updated 7 years ago
• rgilman33 / simple-A2C-PPO
  Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.
  ☆102Updated 5 years ago
• grantsrb / Gym-Snake
  An OpenAI gym environment made for RL
  ☆68Updated last year
• lusob / gym-ple
  This package allows to use PLE as a gym environment.
  ☆72Updated 4 years ago
• takuseno / ppo
  Proximal Policy Optimization implementation with TensorFlow
  ☆107Updated 6 years ago
• jcwleo / mario_rl
  ☆69Updated 6 years ago
• llSourcell / actor_critic
  This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube
  ☆75Updated 7 years ago
• Damcy / prioritized-experience-replay
  implement of prioritized experience replay
  ☆159Updated 6 years ago
• flyyufelix / C51-DDQN-Keras
  C51-DDQN in Keras
  ☆126Updated 7 years ago
• marctuscher / DRQN-tensorflow
  Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
  ☆175Updated 2 years ago
• hhexiy / opponent
  Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"
  ☆71Updated 8 years ago
• andreimuntean / A3C
  Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.
  ☆66Updated 7 years ago
• mehdiboubnan / Deep-Reinforcement-Learning-applied-to-DOOM
  DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
  ☆85Updated 4 years ago
• Kautenja / playing-mario-with-deep-reinforcement-learning
  An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
  ☆72Updated 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.
  ☆366Updated last year
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆155Updated 6 years ago
• rohitgirdhar / Deep-Q-Networks
  Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym
  ☆40Updated 6 years ago
• Silvicek / distributional-dqn
  Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…
  ☆132Updated 6 years ago
• zuoxingdong / mazelab
  A customizable framework to create maze and gridworld environments
  ☆265Updated 6 years ago
• localminimum / hindsight-experience-replay
  Hindsight Experience Replay - Bit flipping experiment in Tensorflow
  ☆58Updated 6 years ago
• LuEE-C / PPO-Keras
  My implementation of the Proximal Policy Optisation algorithm using Keras as a backend
  ☆88Updated 5 years ago
• takoika / PrioritizedExperienceReplay
  Yet another prioritized experience replay buffer implementation.
  ☆48Updated 2 years ago
• pekaalto / sc2aibot
  Implementing reinforcement-learning algorithms for pysc2 -environment
  ☆89Updated 7 years ago
• JKCooper2 / gym-bandits
  Bandits Environments for the OpenAI Gym
  ☆89Updated 5 years ago
• ArthurFirmino / gym-battlesnake
  Multi-agent reinforcement learning environment
  ☆36Updated 5 years ago
• gtoubassi / dqn-atari
  A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well
  ☆92Updated 7 years ago
• msinto93 / D4PG
  Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…
  ☆125Updated 5 years ago