Alternatives and similar repositories for alpha_zero_othello:

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

• Zeta36 / connect4-alpha-zero
  Connect4 reinforcement learning by AlphaGo Zero methods.
  ☆114Updated 3 years ago
• blanyal / alpha-zero
  AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Maste…
  ☆88Updated 6 years ago
• plkmo / AlphaZero_Connect4
  PyTorch implementation of AlphaZero Connect from scratch (with results)
  ☆81Updated 5 years ago
• rgal / gym-2048
  Open AI gym environment for the game 2048
  ☆73Updated 3 years ago
• richemslie / galvanise_zero
  Learning from zero (mostly based off of AlphaZero) in General Game Playing.
  ☆81Updated 2 years ago
• bhansconnect / fast-alphazero-general
  A clean implementation based on Expert Iterations for any game, inspired by alpha-zero-general
  ☆44Updated 2 years ago
• Kautenja / playing-mario-with-deep-reinforcement-learning
  An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
  ☆71Updated 4 years ago
• YuriyGuts / snake-ai-reinforcement
  AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).
  ☆168Updated 6 years ago
• ageron / tiny-dqn
  A tiny implementation of Deep Q Learning, using TensorFlow and OpenAI gym
  ☆94Updated 3 years ago
• rubenrtorrado / GVGAI_GYM
  ☆104Updated 5 years ago
• huangeddie / GymGo
  An environment of the board game Go using OpenAI's Gym API
  ☆174Updated 2 years ago
• kirarpit / connect4
  Solving board games like Connect4 using Deep Reinforcement Learning
  ☆33Updated 2 years ago
• jpypi / othello-rl
  Othello reinforcement learning game playing engine
  ☆16Updated 8 years ago
• keon / policy-gradient
  Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
  ☆159Updated 5 years ago
• EmbersArc / PPO
  PPO implementation for OpenAI gym environment based on Unity ML Agents
  ☆149Updated 7 years ago
• MartinThoma / banana-gym
  A simple stochastic OpenAI environment for training RL agents
  ☆89Updated 2 years ago
• jbradberry / mcts
  Board game AI implementations using Monte Carlo Tree Search
  ☆183Updated 4 years ago
• johan-gras / MuZero
  A structured implementation of MuZero
  ☆207Updated 2 years ago
• ppaquette / gym-super-mario
  Gym - 32 levels of original Super Mario Bros
  ☆288Updated 6 years ago
• flyyufelix / VizDoom-Keras-RL
  Reinforcement Learning in Keras on VizDoom
  ☆145Updated 7 years ago
• llSourcell / OpenAI_Five_vs_Dota2_Explained
  This is the code for "OpenAI Five vs DOTA 2 Explained" By Siraj Raval on Youtube
  ☆161Updated 6 years ago
• Narsil / alphagozero
  Unofficial attempt to rebuild AlphaGo Zero
  ☆56Updated 10 months ago
• takuseno / ppo
  Proximal Policy Optimization implementation with TensorFlow
  ☆106Updated 6 years ago
• llSourcell / actor_critic
  This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube
  ☆75Updated 7 years ago
• SamRagusa / Checkers-Reinforcement-Learning
  A checkers reinforcement learning AI, and all the tools needed to train it.
  ☆56Updated 4 years ago
• brendanator / atari-rl
  Atari - Deep Reinforcement Learning algorithms in TensorFlow
  ☆135Updated last year
• dylandjian / SuperGo
  A student implementation of Alpha Go Zero
  ☆280Updated 6 years ago
• hrpan / tetris_mcts
  MCTS project for Tetris
  ☆346Updated 5 months ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆283Updated 2 years ago
• mpSchrader / gym-sokoban
  Sokoban environment for OpenAI Gym
  ☆352Updated last year