Alternatives and similar repositories for gym-nes-mario-bros

Users that are interested in gym-nes-mario-bros are comparing it to the libraries listed below

• ppaquette / gym-super-mario
  Gym - 32 levels of original Super Mario Bros
  ☆291Updated 6 years ago
• openai / atari-py
  A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
  ☆386Updated 2 years ago
• bzier / gym-mupen64plus
  An OpenAI Gym environment wrapper for the Mupen64Plus N64 emulator
  ☆95Updated last year
• LARG / HFO
  Half Field Offense in Robocup 2D Soccer
  ☆237Updated 3 years ago
• vivek3141 / super-mario-neat
  This program evolves an AI using the NEAT algorithm to play Super Mario Bros.
  ☆106Updated 3 years ago
• tambetm / gym-minecraft
  Minecraft environment for Open AI Gym, based on Microsoft's Malmo.
  ☆283Updated 4 years ago
• Kautenja / gym-tetris
  An OpenAI Gym interface to Tetris on the NES.
  ☆55Updated 2 years ago
• huangeddie / GymGo
  An environment of the board game Go using OpenAI's Gym API
  ☆176Updated 3 years ago
• rgal / gym-2048
  Open AI gym environment for the game 2048
  ☆75Updated 3 years ago
• Kautenja / gym-super-mario-bros
  An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
  ☆816Updated 2 years ago
• Kautenja / playing-mario-with-deep-reinforcement-learning
  An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
  ☆73Updated 4 years ago
• openai / gym-soccer
  ☆303Updated 2 years ago
• SoyGema / Startcraft_pysc2_minigames
  Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.
  ☆134Updated 6 years ago
• 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…
  ☆193Updated last year
• 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.
  ☆374Updated 2 years ago
• Kautenja / nes-py
  A Python3 NES emulator and OpenAI Gym interface
  ☆272Updated 2 years ago
• vivek3141 / super-mario-rl
  Deep Reinforcement learning and Python learn how to play the original Super Mario Bros
  ☆29Updated 7 years ago
• cair / deep-rts
  A Real-Time-Strategy game for Deep Learning research
  ☆240Updated 2 years ago
• rubenrtorrado / GVGAI_GYM
  ☆107Updated 5 years ago
• MartinThoma / banana-gym
  A simple stochastic OpenAI environment for training RL agents
  ☆88Updated 2 years ago
• gsurma / atari
  AI research environment for the Atari 2600 games 🤖.
  ☆260Updated 3 years ago
• mrahtz / ocd-a3c
  TensorFlow implementation of asynchronous advantage actor-critic (A3C)
  ☆38Updated 4 years ago
• simonmeister / pysc2-rl-agents
  StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
  ☆138Updated 7 years ago
• openai / gym3
  Vectorized interface for reinforcement learning environments
  ☆142Updated 2 years ago
• HackerShackOfficial / OpenAI-NEAT
  NEAT Solver for OpenAI
  ☆144Updated 8 years ago
• mpSchrader / gym-sokoban
  Sokoban environment for OpenAI Gym
  ☆390Updated 2 years ago
• shakenes / vizdoomgym
  OpenAI Gym wrapper for ViZDoom enviroments
  ☆70Updated 4 years ago
• mehdiboubnan / Deep-Reinforcement-Learning-applied-to-DOOM
  DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
  ☆88Updated 4 years ago
• jaybutera / tetrisRL
  A Tetris environment to train machine learning agents
  ☆73Updated 2 years ago
• pekaalto / sc2aibot
  Implementing reinforcement-learning algorithms for pysc2 -environment
  ☆89Updated 8 years ago