RL-TicTacToeAgent | demonstrate Reinforced Learning of an Numerical TicTacToe

RL-TicTacToeAgent is a Jupyter Notebook library. RL-TicTacToeAgent has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

An assignment to demonstrate Reinforced Learning of an Numerical TicTacToe agent. Instead of X’s and O’s, the numbers 1 to 9 are used. In the 3x3 grid, numbers 1 to 9 are filled, with one number in each cell. The first player plays with the odd numbers, the second player plays with the even numbers, i.e. player 1 can enter only an odd number in the cell while player 2 can enter an even number in one of the remaining cells. Each number can be used exactly once in the entire grid. The player who puts down 15 points in a line - (column, row or a diagonal) wins the game. In this assignment the agent is the first player i.e. he plays with odd numbers. We design a naive environment i.e the other player and also the agent to learn using RL.