Unbeatable Tic Tac Toe game in java with gui
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Updated
Jun 27, 2017 - Java
Unbeatable Tic Tac Toe game in java with gui
Chineese-checker game by minmax algorithm and alpha beta algorithm
Example of MinMax Algorithm to implement a game in Java
Tic Tac Toe game in both python and java with Artificial Intelligence for second player using alpha-beta pruning for MiniMax algorithm.
Game Player for Fundamentals of Artificial Intelligence and Knowledge Representation class at @unibo
First project for the ‘Fundamentals of Artificial Intelligence’ course. Created AI engine based on MinMax algorithm to play Connect Four game. Type of each player (human/AI) and AI parameters (depth of MinMax tree, enabling alpha-beta pruning) can be set, so it is possible to run AI vs AI game with different parameters.
USC-Foundations of Artificial Intelligence Codes
An AI agent is created which plays the game of Hex using min-max and alpha-beta pruning to best his human counterparts. The AI moves are evaluated using the evaluation function in which different heuristics are used to select the best move. The alpha-beta pruning helps in finding the best move faster.
Gomoku game with AI, MiniMax algorithm
gomoku game using minmax algorithm to predict player movements and act accordingly
tic-tac-toe 🎲, implemented with Jade 🤖
Supervised learning to play Tic Tac Toe. Learn a correct move for all positions from generated labels by minimax search.
Coursework for CSCI 561: Artificial Intelligence at USC 🤖
MinMax AI with Alpha-beta pruning for Othello board game
A project for the requirements of CS Intelligent Systems that lets a human play against an AI in Checkers. The agent uses Game Trees through Min/Max and Alpha-Beta Pruning.
Completed
Implementation of a min max algorithm in a bot that competes in the ultimate tic-tac-toe competition on theaigames.com
AI : Implementing algorithms for adversarial search strategies Min-Max and Alpha-Beta
Basic chess game, with the option to use a server or play against an AI(unfortunately the AI is an idiot)
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