Alternatives and similar repositories for SuperGo

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

• yhyu13 / AlphaGOZero-python-tensorflow
  Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th …
  ☆342Updated 3 years ago
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆267Updated 6 years ago
• Narsil / alphagozero
  Unofficial attempt to rebuild AlphaGo Zero
  ☆58Updated last year
• xiaowei-hu / pysc2-agents
  This is a simple implementation of DeepMind's PySC2 RL agents.
  ☆274Updated 8 years ago
• mokemokechicken / reversi-alpha-zero
  Reversi reinforcement learning by AlphaGo Zero methods.
  ☆683Updated 2 years ago
• jbradberry / mcts
  Board game AI implementations using Monte Carlo Tree Search
  ☆184Updated 5 years ago
• pasky / nochi
  Minimalistic AlphaGoZero-like Engine
  ☆274Updated 7 years ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆571Updated 2 years ago
• arrti / mcts
  An Python N-in-Row game based on Monte Carlo Tree Search and UCT RAVE
  ☆51Updated 8 years ago
• initial-h / AlphaZero_Gomoku_MPI
  An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
  ☆211Updated 8 months ago
• Zeta36 / connect4-alpha-zero
  Connect4 reinforcement learning by AlphaGo Zero methods.
  ☆113Updated 4 years ago
• jingweiz / pytorch-rl
  Deep Reinforcement Learning with pytorch & visdom
  ☆803Updated 5 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
• inoryy / reaver
  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
  ☆562Updated 5 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆917Updated 5 years ago
• tokb23 / dqn
  DQN implementation in Keras + TensorFlow + OpenAI Gym
  ☆159Updated 7 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆395Updated 7 years ago
• floodsung / DQN-Atari-Tensorflow
  Simplest Version of playing Atari with Deep Q Learning in Tensorflow
  ☆158Updated 8 years ago
• DRL-CASIA / StarCraft-AI
  Reinforcement Learning and Transfer Learning based StarCraft Micromanagement
  ☆103Updated 7 years ago
• borgwang / reinforce_py
  Reinforcement Learning in Python
  ☆108Updated 5 years ago
• onlytailei / A3C-PyTorch
  PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
  ☆114Updated 8 years ago
• llSourcell / alphago_demo
  This is the code for "How Does DeepMind's AlphaGo Zero Work?" Siraj Raval on Youtube
  ☆121Updated 8 years ago
• jasonrute / puzzle_cube
  Solving the Rubik's cube with deep reinforcement learning and Monte Carlo tree search
  ☆103Updated 6 years ago
• hildensia / mcts
  An implementation of Monte Carlo Tree Search in python
  ☆163Updated 5 years ago
• flyyufelix / C51-DDQN-Keras
  C51-DDQN in Keras
  ☆126Updated 8 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆658Updated 5 years ago
• hrpan / tetris_mcts
  MCTS project for Tetris
  ☆349Updated last year
• floodsung / a2c_cartpole_pytorch
  advantage actor-critic reinforcement learning for openai gym cartpole
  ☆65Updated 8 years ago
• MG2033 / A2C
  A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
  ☆182Updated 6 years ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆284Updated 2 years ago