Skip to content

Latest commit

 

History

History
8 lines (5 loc) · 374 Bytes

File metadata and controls

8 lines (5 loc) · 374 Bytes

GRAD60001_Project

A research on how to train a neural network for a program to play classic Atari game 'Pong'.

Game is emulated using atari 2600 emulator 'Stella', the ROM file for the game is 'pong.bin'.

Game state is extracted using file 'loadgame.py', with the support of package 'Arcade Learning Environment'.

Neural network is trained using package 'Tensorflow'.