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Using Keras and Deep Q-Network to Play FlappyBird

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I am running this on cpu only. I am getting this on running. `Traceback (most recent call last): File "qlearn.py", line 5, in import skimage as skimage File "C:\Users\Win 10\AppData\Local\Programs\Python\Python36\lib\site-packages\skimage\__init__.py",...

I'm using Tensorflow 1.7 and Keras 2.1.6. Doing a git clone followed by "python qlearn.py -m Run" should run the pre-trained model, right? However, the result does not look good....

Here's a model trained to ~3,000,000 steps. NVIDIA GeForce GTX 1080 Ti, Core i7-7700, Ubuntu 16.04, Python==2.7.12, tensorflow-gpu==1.5.0, Keras==2.1.3. Thought it might be useful to you and others.

why does the network start with such a strong bias towards trying action 1 every timestep? i only occasionally see action=0. i looks like it would be difficult to break...

Though trained weights is available in this repository, I still want to train the model from scratch by myself. But after 1 million step training, all the output is 1....

I run your code but it occurs a error,Layer weight shape (32, 80, 8, 8) not compatible with provided weight shape (8, 8, 4, 32) Can you help me to...

An extra space should be given in this line to make it syntactically correct.

Hey, I ran in a bit troubles while trying to install this repo, so I thought it might be a good idea to update the process a bit. - added...

This commit fixes a couple issues I encountered before successfully running qlearn.py. Using Keras 2.0.2 I received an error message stating that `keras.initializations` module didn't exist. Looking through the source...