Alternatives and similar repositories for -Reinforcement-Learning-five-in-a-row-

Users that are interested in -Reinforcement-Learning-five-in-a-row- are comparing it to the libraries listed below

• pandezhao / alpha_sigma
  A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
  ☆165Updated 6 years ago
• GuoYi0 / alphaFive
  alphaGo版本的五子棋(gobang, gomoku)
  ☆68Updated 5 years ago
• zouyih / AlphaZero_Gomoku-tensorflow
  ☆62Updated 6 years ago
• initial-h / AlphaZero_Gomoku_MPI
  An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
  ☆209Updated 3 months ago
• zhongjn / gomokuer
  A tiny re-implementation of AlphaGo Zero (in Gomoku)
  ☆75Updated 7 years ago
• xmfbit / DQN-FlappyBird
  Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch
  ☆69Updated 8 years ago
• cloxnu / Omega_Gomoku_AI
  ♟♟♟♟♟ A Gomoku game AI based on Monte Carlo Tree Search, can be trained on policy-value network now. 一个蒙特卡洛树搜索算法实现的五子棋 AI，现可用神经网络训练模型。
  ☆47Updated 5 years ago
• qq456cvb / doudizhu-C
  C++/python fight the lord with pybind11 (强化学习AI斗地主), Accepted to AIIDE-2020
  ☆160Updated 4 years ago
• npnpwqf / Renju
  基于强化学习的五子棋
  ☆11Updated 6 years ago
• chengstone / cchess-zero
  AlphaZero implemented Chinese chess. AlphaGo Zero / AlphaZero实践项目，实现中国象棋。
  ☆511Updated last year
• YoujiaZhang / AlphaGo-Zero-Gobang
  AlphaGo-Zero-Gobang 是一个基于强化学习的五子棋(Gobang)模型，主要用以了解AlphaGo Zero的运行原理的Demo，即神经网络是如何指导MCTS做出决策的，以及如何自我对弈学习。源码+教程
  ☆100Updated 3 weeks ago
• tobegit3hub / ml_implementation
  Implementation of Machine Learning Algorithms
  ☆407Updated 6 years ago
• colingogogo / gobang_AI
  基于博弈树α-β剪枝搜索的五子棋AI
  ☆754Updated 7 years ago
• zhuliquan / reinforcement_learning_basic_book
  这是一个学习强化学习基础原理的仓库，主要包括了《深入浅出强化学习原理入门》书中一些例子和课后作业的代码
  ☆262Updated 6 years ago
• arrti / mcts
  An Python N-in-Row game based on Monte Carlo Tree Search and UCT RAVE
  ☆51Updated 7 years ago
• SukerZ / Playing-Flappy-Bird-by-DQN-on-PyTorch
  引用整理https://blog.csdn.net/yellow_red_people/article/details/80465510 一文中PyTorch平台，利用DQN模型玩Flappy Bird游戏，是一个再励学习（强化学习）实验例子。
  ☆47Updated 6 years ago
• applenob / rl_learn
  我的强化学习笔记和学习材料 still updating ... ...
  ☆348Updated 6 years ago
• charleschen003 / doudizhu-rl
  强化学习训练斗地主 / doudizhu AI using reinforcement learning.
  ☆16Updated 5 years ago
• ColinFred / GoBang
  ☆22Updated 7 years ago
• Urinx / ReinforcementLearning
  Reinforcing Your Learning of Reinforcement Learning
  ☆95Updated 5 years ago
• tensorfly-gpu / aichess
  使用alphazero算法打造属于你自己的象棋AI
  ☆269Updated 2 years ago
• gaoxiaos / Supermariobros-PPO-pytorch
  rl on super-mario-bros
  ☆53Updated 4 years ago
• jidiai / ai_lib
  ☆165Updated last year
• gingkg / AlphaZero_Gomoku_PyTorch
  基于Pytorch, 使用强化学习(自博弈+MCTS)训练一个五子棋AI
  ☆24Updated 4 years ago
• xushsh163 / A3CSuperMario_Windows
  SuperMario A3C Trainer for windows
  ☆35Updated 6 years ago
• YangRui2015 / 2048_env
  2048 environment for Reinforcement Learning and DQN algorithm
  ☆40Updated 3 years ago
• xiaohaomao / Reinforcment-Leanring-algorithm
  强化学习经典算法(offline\online learning, q-learning, DQN)的实现在平衡杆游戏和几个Atari 游戏 （CartPole\Pong\Boxing\MsPacman）
  ☆29Updated 6 years ago
• rl-cn / rl-cn
  A translation of Reinforcement Learning: An Introduction
  ☆114Updated 6 years ago
• tinyzqh / awesome-reinforcement-learning
  Learning Resources And Links Of Reinforcement Learning （updating）
  ☆270Updated 3 years ago
• lsyndxiaoyuer / StarCraft2-RL
  lecture32_AI挑战星际争霸II（强化学习）
  ☆17Updated 2 years ago