Implémentation des méthodes suivantes de pathfinding: breadth first search, uniform cost search et greedy best first search.
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Updated
Sep 15, 2022 - Python
Implémentation des méthodes suivantes de pathfinding: breadth first search, uniform cost search et greedy best first search.
A maze game made with Phaser 3.
Implementation of popular AI algorithms
8 Puzzle game
A Maze Solving Agent using greedy best first search and A*star algorithms
In this project, state space search algorithms were implemented to solve the game Rush Hour. Uninformed search, Uniform Cost, and informed searches Greedy-Best First Search and Algorithms A/A*. All game logic and data structures were implemented with an original design.
Simple Python project that uses standard libraries in conjunction with PyGame for the GUI. Allows the user to create a maze using their mouse, define starting position [S_i,S_j], goal position [G_i,G_j], and run different pathfinding algorithm visualizations from informed (Greedy, A*) to uninformed (DFS,BFS) and choose between L1 and L2 heuristics
Finds the best solution path for a maze using artificial intelligence
This is a homework about various Uninformed and Informed search algorithms, implemented for solving a simple game. This homework is a part of many projects in a Fundamentals to AI course @ FUM.
Best-First-Search | Breadth-First-Search | Depth-First-Search | Greedy-Best-First-Search | A-Star-Search
A visualization tool for path finding algorithms.
It contains implementations of different algorithms of classical AI course.
Artificial Intelligence Algorithms on the 8Puzzle
Various Artificial Search Algorithm Visualization
Conducting and examining Search Algorithms within a basic testing environment.
Group project on Tree Search Algorithms for the Curricular Unit of "Artificial Intelligence" @ FCUP, Porto with @barbara-san and @Nia3324
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