A little project that I built to learn how to implement deep q-learning with experience replay. The "car" pixel learns to successfully navigate a winding road by choosing one of three moves ("left", "straight", "right") based on the 16x16 pixel input of the path. Depends on keras, numpy.
A short presentation with performance results can be found here
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