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In this example application, reinforcement learning was able to find a solution to a problem, but also find several unexpected solutions through emergent behavior that the programmer didn't even consider possible when coding the simulation.
If you'd like to learn more about reinforcement learning or play with a number of samples in controlled environments, I highly recommend you look at the documentation for OpenAI's Gym library and particularly the basic usage page. OpenAI's Gym provides a standardized environment for performing reinforcement learning on classic Atari games and a few other platforms and should be an educational resource. If you'd like a more detailed example, check out this tutorial on Paperspace's blog.