shakedzy/tic_tac_toe
Teaching the computer to play Tic Tac Toe using Deep Q Networks
This project helps teach an AI agent how to play Tic-Tac-Toe. It takes in game states and learns to make optimal moves, blocking opponents and winning games. Anyone interested in training simple game-playing AI, like a student or a hobbyist exploring reinforcement learning, would find this useful.
No commits in the last 6 months.
Use this if you want to understand or demonstrate how a computer can learn to play a simple board game effectively using deep reinforcement learning.
Not ideal if you are looking for a general-purpose game engine or a tool for complex game AI in professional development.
Stars
28
Forks
4
Language
Python
License
MIT
Category
Last pushed
Nov 14, 2019
Commits (30d)
0
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