A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.

MiniZero: An AlphaZero and MuZero Training Framework

Computer go engine using Monte-Carlo Tree Search (MCTS)

Parallel Monte Carlo Tree Search, see README.md for more detailed usage and information.

A set of AIs for the 2048 tile-merging game. Includes an expectimax strategy that reaches 16384 with 34.6% success and an ML model trained with temporal difference learning.

A modern C++14 header-only template library implementing information set Monte Carlo tree search.

The ProSeCo Planning C++ library

Homing Piegon is an inference framework implementing Variational Message Passing. It can be used to implement an Active Inference agent that performs planning using a Tree Search algorithm that can been seen as a form of Bayesian Model Expansion.

A single player source code for Ya Paper Soccer - paper soccer for Android.

Visual representation of RTS game, supported by deep reinforcement learning algorithm Alpha Zero written in python.

An engine in C++ to play the board game Ataxx

Monte Carlo Tree Search - A C++ MPI implementation

AI for the Chinese card game Doudizhu

A StarCraft bot applied Monte-Carlo tree search for tactical decision-making.

A programming language for implementing turn-based games with complex rule sets. (with built in Monte Carlo Tree Search AI!)

Air Traffic Control C++ QT

C++ implementation of the Monte Carlo Tree Search algorithm

A minimal implementation of Monte Carlo Tree Search (MCTS) in C++17

AI for Corintho board game based on AlphaZero

Build a Surakarta board game engine and implemented different strategy such as Monte-carlo tree search with Deep learning.