Graduate level Artificial Intelligence coursework
-
Updated
Dec 13, 2017 - C++
Graduate level Artificial Intelligence coursework
Creating an "AI" using minimax algorithm to never lose at Connect4
An AI playing Gomoku 15x15 using Negamax algorithm, NegaScout algorithm, Zobrist Hashing, Null Window written in C++
A chess playing program written in C++, This will include some AI search algorithms and Game theory algorithms as it progresses.
Course work for SSU's CS480 which is a survey of techniques that simulate human intelligence.
Implementation of MinMax Algorithm.
Artificial Intelligence I course mid-quarter project - autumn 2020
First project developed for Artificial Intelligence class
Implementation of different graph algorithm using C++.
Chess engine based on min-max algorithm, iterative deepening and transposition tables
Algorithms Coded in C++ Language.
Solving Game of 8 puzzle using differint AI search algorithms BFS, IDS, and A*. The purpose of this project is compare the time and space complexity for different search algorithms.
Problem solving using iterative deepening depth first search.
A UCI-compatible chess engine, capable of beating (most) human players.
Solving the Rubik's Cube using three different search strategies including Iterative Deepening Search, A Star Search, Iterative Deepening A Star Search. The searches were compared in terms of: Number of nodes expanded and Optimality.
♟️ Ataxx [2 Player Console Game]
A UCI-compatible Chess Engine written in C++20 with an Android and WearOS Interface
A sliding puzzle game and solver using ncurses.
Add a description, image, and links to the iterative-deepening-search topic page so that developers can more easily learn about it.
To associate your repository with the iterative-deepening-search topic, visit your repo's landing page and select "manage topics."