Skip to content

Latest commit

 

History

History
12 lines (9 loc) · 525 Bytes

README.md

File metadata and controls

12 lines (9 loc) · 525 Bytes
Raw

QFlappyPy

Authors: Anhad Mohananey, Yashovardhan Chaturvedi

This is an AI-based bird implementation of the game Flappy Bird in python. Qlearning algorithm has been used for reinforcement learning.

To run the game, execute the python file flap.py with command line argument specifying the frames-per-second(FPS) at which you want to run the dynamic learning algorithm.

Eg:

python flap.py 20000

will run the game at 20,000 FPS. This implementation is done in order to speed up the learning process.