Alternatives and similar repositories for monte-carlo-tree-search

Users that are interested in monte-carlo-tree-search are comparing it to the libraries listed below

• jbradberry / mcts
  Board game AI implementations using Monte Carlo Tree Search
  ☆184Updated 5 years ago
• jmgilmer / GoCNN
  using CNN to do move prediction and board evaluation for the board game Go
  ☆147Updated 7 years ago
• hildensia / mcts
  An implementation of Monte Carlo Tree Search in python
  ☆163Updated 5 years ago
• hughperkins / kgsgo-dataset-preprocessor
  Dataset preprocessor for the KGS go dataset, eg according to Clark and Storkey input planes
  ☆73Updated 9 years ago
• Zeta36 / connect4-alpha-zero
  Connect4 reinforcement learning by AlphaGo Zero methods.
  ☆113Updated 4 years ago
• moscow25 / deep_draw
  Convolution neural network... for draw video poker. Perhaps, we learn something useful for other poker, too.
  ☆109Updated 9 years ago
• google-deepmind / xitari
  This is the 0.4 release of the Arcade Learning Environment (ALE), a platform designed for AI research. ALE is based on Stella, an Atari 2…
  ☆160Updated 8 years ago
• jbradberry / ultimate_tictactoe
  An implementation of 9x9 Tic Tac Toe
  ☆76Updated 5 years ago
• samindaa / RLLib
  C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning
  ☆206Updated 9 years ago
• pasky / michi
  Minimalistic Go MCTS Engine
  ☆276Updated 7 years ago
• EssexUniversityMCTS / gvgai
  This is the framework for the General Video Game Competition - http://www.gvgai.net/
  ☆139Updated 7 years ago
• bbitmaster / ale_python_interface
  A Python Interface for the Arcade Learning Environment (Shared Object)
  ☆129Updated 5 years ago
• fomorians / td-gammon
  Implementation of TD-Gammon in TensorFlow.
  ☆113Updated 6 years ago
• Zeta36 / Asynchronous-Methods-for-Deep-Reinforcement-Learning
  Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain …
  ☆84Updated 9 years ago
• crypt3lx2k / Zerofish
  An implementation of the AlphaZero algorithm for chess
  ☆34Updated 2 years ago
• richemslie / galvanise_zero
  Learning from zero (mostly based off of AlphaZero) in General Game Playing.
  ☆84Updated 2 years ago
• sijiaxu / Overkill
  StarCraft AI Competition Zerg Bot
  ☆45Updated 8 years ago
• ehrenbrav / DeepQNetwork
  A modification of Google's Deep Q-Network to learn to play Super Mario Bros.
  ☆167Updated 9 years ago
• microsoft / malmo-challenge
  Task and example code for the Malmo Collaborative AI Challenge
  ☆154Updated 3 years ago
• jmoudrik / deep-go-wrap
  Toolkit designed to ease development of your Deep Neural Network models for the game of Go (weiqi, baduk).
  ☆20Updated 8 years ago
• traai / async-deep-rl
  A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783
  ☆68Updated 9 years ago
• arrti / mcts
  An Python N-in-Row game based on Monte Carlo Tree Search and UCT RAVE
  ☆51Updated 8 years ago
• aszczepanski / 2048
  2048 AI
  ☆89Updated 8 years ago
• muupan / dqn-in-the-caffe
  An implementation of Deep Q-Network using Caffe
  ☆210Updated 8 years ago
• int8 / counterfactual-regret-minimization
  Counterfactual regret minimization algorithm for Kuhn poker
  ☆178Updated 6 years ago
• mokemokechicken / reversi-alpha-zero
  Reversi reinforcement learning by AlphaGo Zero methods.
  ☆682Updated 2 years ago
• sferes2 / sferes2
  A lightweight, generic C++11 framework for evolutionary computation
  ☆168Updated 3 years ago
• Narsil / alphagozero
  Unofficial attempt to rebuild AlphaGo Zero
  ☆58Updated last year
• memoakten / ofxMSAmcts
  A very simple C++ MCTS (Monte Carlo Tree Search) implementation with examples for openFrameworks
  ☆64Updated 9 years ago
• TheDuck314 / go-NN
  Go-playing neural network in Python using TensorFlow
  ☆70Updated 9 years ago