ECE 5760 - Evolutionary Algorithms: Tic Tac Toe

Extreme Algorithms

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

Artificial Neural Network-Based Tic-Tac-Toe Game

Cornell University ECE 5760 Advanced Micro-controllers Final Projects

Figure 8 from The winning strategy of Tic Tac Toe Game model by using Theoretical Computer Science

c# - Monte Carlo Tree Search: Implementation for Tic-Tac-Toe - Stack Overflow

Introduction to Evaluation Function of Minimax Algorithm in Game Theory - GeeksforGeeks

ECE 5760: Advanced Microcontrollers Design

GitHub - jatin-47/Tic-Tac-Toe: Tic-Tac-Toe game AI using Minimax algorithm with alpha-beta pruning optimization and fast win heuristics.

Prediction Distortion in Monte Carlo Tree Search and an Improved Algorithm

Evaluation with minimal guaranteed value in Tic-Tac-Toe with chance nodes

GitHub - laurakoco/tic-tac-toe-ai: Tic-Tac-Toe GUI with AI (Adversarial Search: Minimax, Alpha-Beta Pruning, Alpha-Beta with Cutoff)