Introduction to Artificial Intelligence - Assignment 13 miniMax, alpha-beta Pruning, Expectimax...
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Dec 28, 2022 - Python
Introduction to Artificial Intelligence - Assignment 13 miniMax, alpha-beta Pruning, Expectimax...
An isolation game solver.
Fully automated LLM evaluator
♟ AI agent for a deterministic board game with no hidden information
the second algorithm I've ever "written."
Implementing an Minimax agent for Konane game and improving it's efficiency using Alpha-beta pruning
A Genetic Algorithm project focuses on "Matching" for Computational Biology course, Bar-Ilan University.
Mobile application about numerical methods like one variable equations, linear systems of equations and interpolation. (Published in Google Play Store in its version 1.0.5 and +1.000 downloads).
Connect Four Game AI Implementation with Javascript, Using Minimax Algorithm and Alpha-Beta Pruning
This package hosts an array of frequently used regex validations and regex expression evaluation functionalities. In general, String check encompasses last word check, middle word check, first word check, sentence validation, phone number validation, name validation with or without honorific, password with both default parameter settings and cus…
Desktop Reversi game made in Kotlin and Swing. The project focuses on implementing and exploring AI algorithms for zero-sum games, including MinMax, Alpha-Beta pruning, and various heuristics.
An MNK-game player that can generally look 2 moves ahead of the current state of the game.
Cpp Math Eval functions
In the class CS-4341, Artificial Intelligence, we were tasked to build an agent that could play the game of Gomoku. In order to achieve this the team implemented the MiniMax algorithm, Alpha-beta-pruning as well as our own understanding of evualtion function to facilitate the previous two algorithms. Additionally to aide in the agents compentenc…
A java program that plays a custom standard two-player game called Hexed!
A 3D version of the classic TicTacToe game where the board a Cube instead of a 2D flat board implemented in console.
Implemented AI Multi Agent Search Algorithms - Minimax, Expectimax, Alpha-Beta Pruning, Evaluation Functions.
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