There is a reason why "Research" and "Development" are listed as separate concepts when people talk about R&D. The point of most research papers is not to directly invent a working product, it's to produce fundamental insights that may be useful in future applications.
See my previous comment: not in machine learning research.
Also, the paper itself tries (hard) to motivate its approach with a real-world application, in particular, learning a simulator to train robotic agents to interact with the real world.
