ROSject of the week: train a DeepQNN to control a cartpole with Gazebo sim, ROS control and OpenAI

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In this rosject we show you how to build the whole training system for a cartpole simulated in Gazebo and controlled with ROS using OpenAI framework.

You can get the full ROS training code, documentation in the form of Jupyter notebook, openai_ros package and cartpole Gazebo simulation here:

http://www.rosject.io/l/300c9b15-8153-4e8b-aac9-5a675814eb55/

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