game ai tic-tac-toe alpha-beta-pruning minimax-algorithm Updated Jul 25, 2024 Python devangi2000 / Artificial-Intelligence-Algorithms Star 31 Code Issues Pull requests A repository containing codes and algorithms for the AI course 18CSC305J. machine-learning natural-language-processing deep-le...
The aim of the game is to win by placing three similar marks in a horizontal, vertical, or diagonal row. In this paper, a simulation algorithm is presented to predict the win, or draw of a game by knowing the first move of a player The game of tictac- toe is simulated using Min-...
basic Q-learning algorithm for tic-tac-toe. Contribute to mihaibivol/Q-learning-tic-tac-toe development by creating an account on GitHub.
Learn to code an unbeatable Tic-tac-toe AI using the Minimax algorithm in Python. This tutorial covers theory, implementation, and optimization, ideal for game AI enthusiasts. Bex Tuychiev 14 min Tutorial An Introduction to Hierarchical Clustering in Python Understand the ins and outs of hierarch...
tic-tac-toe ai project completion Other Implementation Points On this 5/5 stage of development, a few key implementations are being put forward to make the game more scalable. for each player, use an ArrayList to store the moves it makes, so that we can track back and forth. ...
In order to make the tic-tac-toe game unbeatable, it was necessary to create an algorithm that could calculate all the possible moves available for the computer player and use some metric to determine the best possible move. After extensive research i
The system performance proposed is based on the Tic Tac Toe algorithm, which follows an exact non-combinatorial deterministic approach capable of giving not only the optimum, but all the optimal solutions for a scheduling problem in multiproduct plants in very short time. The resulting tool is ...
Deb, "In search of no-loss strategies for the game of tic-tac-toe using a customized genetic algorithm," in Proc. 10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008, pp. 889-896, Atlanta, GA, 2008.Anurag Bhatt, Pratul Varshney, and Kalyanmoy Deb "In Search of No-...
This paper presents an algorithm of playing game tic-tac-toe. This algorithm is learned by a modified neural network (NN), which is trained by an improved genetic algorithm (GA). In the proposed NN, the neuron has two activation function's and exhibits a node-to-node relationship in the...
the nodes are arranged in levels that correspond to each player's turns in the game so that the “root” node of the tree (usually depicted at the top of the diagram) is the beginning position in the game. In tic-tac-toe, this would be the empty grid with no Xs or Os played yet...