CSE 571 Artificial Intelligence

This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach

A visualizer for the core search algorithms used in AI and game development. Special thanks to Amit Patel and his cool tutorials for providing me with the inspiration. #MadeWithUnity

Visualization for multiple searching algorithms.

GraphLab is an application that shows visually how several graph algorithms work

Programs developed for CSCI561 Foundations of Artificial Intelligence course

A fine-tuned visual implementation of Informed and Uninformed Search Algorithms such as Breadth First Search, Depth First Search, Uniform Cost Search, A* Search, Greedy First Search

Implement Algorithms For Graph Search (like A*) & Local Search (like hill climbing algorithms) & Genetics

DFS / BFS / IDS / UCS / Bi-directional / A* / IDA* / SMA* / ...

Uniform Cost Search implementation for Artificial Intelligence course

A visualisation tool for various pathfinding algorithms.

The algorithm determines the least cost path from the start location to goal location

👻 Implementation of intelligent agents for the Pacman game.

Desktop app for visualizing graph search algorithms

This is a couple different methods for solving "The Travelling Salesmen Problem"

Array of AI Search algorithms is employed to playing Pac-Man ⍩⃝.

In this project, the Pac-Man agent finds paths through its maze world, both to reach a particular location and to collect food efficiently. Search algorithms such as Depth First Search, Bread First Search, Uniform Cost Search and A-star search are applied to Pac-Man scenarios.

Solves Sokoban Puzzles using A* search, UCS algorithms and heuristic functions

Implementation of BFS, DFS, Uniform cost search, greedy search, A* search for path finding in maze, Implementation of Water Jug problem with jugs having capacity m and n, resp.

Contains the Programs of Topics study in Artificial Intelligence subject