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DeepTraffic is a gamified simulation of typical highway traffic. The task is to build a neural agent – more specifically design and train a neural network that performs well on high traffic roads. The neural network controls one of the cars and learns how to navigate efficiently to go as fast as possible.

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Deep-Traffic-Self-Driving-Cars

DeepTraffic is a gamified simulation of typical highway traffic. The task is to build a neural agent – more specifically design and train a neural network that performs well on high traffic roads. The neural network controls one of the cars and learns how to navigate efficiently to go as fast as possible.

Website: http://selfdrivingcars.mit.edu/deeptraffic/

The code should be uploaded and executed here: http://selfdrivingcars.mit.edu/deeptrafficjs/

The following code has an average highest speed of 71.33 MPH.

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DeepTraffic is a gamified simulation of typical highway traffic. The task is to build a neural agent – more specifically design and train a neural network that performs well on high traffic roads. The neural network controls one of the cars and learns how to navigate efficiently to go as fast as possible.

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