3 threads

after 4000 episodes, about 30% chance of Clearance

after 8000 episodes, about 70% chance of Clearance

Install NES emulator FCEUX

lua scripts and nes files in 'SuperMarioBros' Folder are modified from gym-super-mario

Install pywin32

using win32 named pipe to comunicate with FCEUX, so support winodws only

config.py

FCEUX_PATH = 'D:\\fceux-2.2.3-win32\\fceux.exe'

change to your install path

A3CTrainer.py

load_model = False

change to True if you need to continue training

Train

python A3CTrainer.py

Test

python A3CTester.py

introduction article to this impelement

A3C model implements is from this article 《simple-reinforcement-learning-with-tensorflow-part-8-asynchronous-actor-critic-agents-a3c》.

I have tried a lot of A3C implements and this one is most efficient.