Tetris AI on botzone.org

Monte Carlo Tree Search bot to play Nine Men's Morris as implemented by my repo nineman

Reversi player using Monte Carlo Tree Search

An implementation of MinMax and Monte Carlo Tree Search solvers for Connect 4.

Fork of the "🤗 Transformers" repository. Extended to support the following decoding methods: MCTS, Stochastic Beam Search, Value-Guided Beam Search. Codebase extended on the understanding-decoding branch.

The project includes an implementation of the Alpha zero algorithm based on tictactoe and connect4 games using the keras library along with a game module to play with the algorithm. It is also possible to add more games in which two players make alternate moves.

Efficient algorithm for making informed decisions in games and other decision-making scenarios. It combines elements of simulation, random sampling, and decision tree analysis to make accurate predictions in real-time. The algorithm is written in Kotlin, a modern and expressive programming language, making it easy to understand and modify.

Exercises from IT3105 V20

A Connect4 AI.

A chess program based on Deep Mind's AlphaZero.

MCTS/UCT search for chess variants

Ultimate Tic Tac Toe for Android

MCTS based dataset creation tool for LLMs

AI Playground for the game of Sogo, inspired by the Alpha Go Zero algorithm.

Applying state of the art AI search algorithms to solve the Sokoban game automatically. Since Sokoban game itself is quite challenging due to its problem complexity, additionally, heuristic functions and deadlock detectors are applied. (Python)

Monte carlo tree search in python

This is a school project that aims to train an artificial intelligence to play mill

A simple implementation of Connect 4 complete with an MCTS computer player

Using reinforcement learning to play games.