Q-learning-Game
Q-learning is a values-based learning algorithm in reinforcement learning.
- Source freecodecamp.org
- Warning Q table design on this site has been made incorrectly. The right design was used in the game.
Q-Learning — a simplistic overview (Game)
Let’s say that a robot has to cross a maze and reach the end point. There are mines, and the robot can only move one tile at a time. If the robot steps onto a mine, the robot is dead. The robot has to reach the end point in the shortest time possible.
Requirements
- Python 3 and later
- Pygame
Installation
pip install pygame
Q Table Design
AI train
python q.py- "Do you want train ? y => Yes, n => No: "
- Answer "y"
AI Run
python q.py- "Do you want train ? y => Yes, n => No: "
- Answer "n"
- "Do you use train data ? y => Yes, n => No: "
- Answer "y"
- "Which Data ? => 1 = System Data, 2 = User Data: "
- Answer "2"
- Play with space bar (Space key on keyboard)
