Escape from a maze using reinforcement learning
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Updated
Feb 8, 2023 - Python
A maze is a type of puzzle involving a collection of paths, usually where a player has to find a route from start to finish.
A huge variety of algorithms exist for generating and solving mazes. These are not only fun to implement, but also are a good way to familiarise yourself with programming techniques, algorithms, and languages.
Escape from a maze using reinforcement learning
Python Maze Solver using A* Algorithm with Movement Constraints
Solves any images of mazes, as long as the starting point, ending point, walls, and path have unique colors.
Uses PyQt5 to paint the mazes. The user can make a maze and then watch as it is solved. Uses brute force threading to solve the maze. Randomly generated mazes are a future addition.
A CLI application for creating mazes using Eller's algorithm, solving them using the Best first search algorithm, and running various outputs.
Generate Mazes of different types and Datasets for Deep Learning (GANs, RL)