GitHub - roy-tang-hs/Deep-Q-learning-for-Android-Game

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.ipynb_checkpoints		.ipynb_checkpoints
pytesser_v0.0.1		pytesser_v0.0.1
tessdata		tessdata
AUTHORS		AUTHORS
ChangeLog		ChangeLog
GameSimulator.ipynb		GameSimulator.ipynb
LICENSE		LICENSE
NOTICE		NOTICE
README		README
errors.py		errors.py
fnord.tif		fnord.tif
fonts_test.png		fonts_test.png
full_snap__1489311022.png		full_snap__1489311022.png
gameOver.png		gameOver.png
log.txt		log.txt
memory.csv		memory.csv
modelSmove.h5		modelSmove.h5
out.txt		out.txt
phototest.tif		phototest.tif
pytesser.py		pytesser.py
pytesser.pyc		pytesser.pyc
s.png		s.png
tesseract.exe		tesseract.exe
tesseract.log		tesseract.log
util.py		util.py

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# Deep Q-learning fro Mobile games using android simulator

1. We use Genny motion android simulator
2. We set-up our own environment to carryout reinforcement learning experiments.
3. Finally we train a Lego MindStrom robot arm to play the mobile game SMOVE