I think this code is good. It sets up a Q-learning agent for Tic-Tac-Toe in a clear way using the QAgent class. The use of named tuples for the game state is nice and makes the code easy to follow. The random_game function is handy for creating random game situations during training.
However, I think there are areas to make it even better. The code doesn't handle when the game is finished properly, and it needs a way to recognize that. Adding a function for that would help. Also, using more descriptive names for variables and adding more comments inside the QAgent class methods, especially for the Q-value updates, would make it easier for others to understand. Despite these points, the code is a good starting point for a Tic-Tac-Toe agent using Q-learning.
I think this code is good. It sets up a Q-learning agent for Tic-Tac-Toe in a clear way using the QAgent class. The use of named tuples for the game state is nice and makes the code easy to follow. The random_game function is handy for creating random game situations during training.
However, I think there are areas to make it even better. The code doesn't handle when the game is finished properly, and it needs a way to recognize that. Adding a function for that would help. Also, using more descriptive names for variables and adding more comments inside the QAgent class methods, especially for the Q-value updates, would make it easier for others to understand. Despite these points, the code is a good starting point for a Tic-Tac-Toe agent using Q-learning.