🕹️ Welcome to Game-Optimization, a repository dedicated to exploring and implementing various optimization algorithms to solve complex games. This project initially focuses on solving the classic game Sokoban using the Q-learning algorithm, with plans to extend to genetic algorithms and other optimization techniques in the future.
A Q-learning like algorithm to find the optimal solutions for the Travelling Salesman Problem (TSP).
C++ program implements Sokoban game to solve it with AI reinforcement algorithm (Q-learning ALG).
C++ implementation of the Q-Learning algorithm applied to a simple grid world problem
Add a description, image, and links to the q-learning-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the q-learning-algorithm topic, visit your repo's landing page and select "manage topics."