Mastering TicTacToe with AlphaZero

AlphaZero (or it’s more famous predecessor AlphaGo) made one of the most famous breakthroughs in the field of AI. Being able to achieve superhuman performance in the games of chess, shogi and go…

AlphaZero: Innovating AI through Self-Play - Machine Learning Tutorial — Eightify

Using MuZero's Tree Search To Find Optimal Tic-Tac-Toe Strategy in a Spreadsheet

GitHub - CogitoNTNU/AlphaZero: An implementation of AlphaZero, trained to master Tic-Tac-Toe and Four in a row

GitHub - minqi/alphazero: Generic implementation of AlphaZero

Playing Ultimate Tic-Tac-Toe using Reinforcement Learning, by Arnav Paruthi

P] uttt.ai: AlphaZero-like solution for playing Ultimate Tic-Tac-Toe in the browser : r/MachineLearning

The Evolution of AlphaGo to MuZero

Mastering Modularity in ZIO with Zlayer

P] uttt.ai: AlphaZero-like solution for playing Ultimate Tic-Tac-Toe in the browser : r/MachineLearning

Monte Carlo Tree Search Tutorial (MCTS) : DeepMind AlphaGo

GitHub - thanif/AlphaGo-Zero-on-Tic-Tac-Toe-using-Keras: Mastering Tic Tac Toe Using Self Play and Reinforcement Learning (3X3 Board)

Figure 5 from AlphaGo and Monte Carlo tree search: The simulation optimization perspective

AlphaZero, a novel Reinforcement Learning Algorithm, in JavaScript, by Carlos Aguayo

The Evolution of AlphaGo to MuZero