This project forked from qbx2/simple_dqn
simple_dqn
This is a scaled-down simple_dqn using tensorflow with a simple game.
It took about 2~3 hours to play like an expert. (by only CPU, i7-4870HQ)
I didn't skip any frames unlike the original DeepMind's paper.
python simple_dqn.py (python 3.5+ recommended)
And you can check the agent's play on http://localhost:11100/
Input: 50x50x3 (3 successive black&white images)
CNN: 8x8x3x32
CNN: 4x4x32x64
CNN: 3x3x64x64
Full Connected1: 256->512
Full Connected2: 512->3
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