© Taweh Beysolow II 2019
T. Beysolow IIApplied Reinforcement Learning with Pythonhttps://doi.org/10.1007/978-1-4842-5127-0_5

5. Custom OpenAI Reinforcement Learning Environments

Taweh Beysolow II1 
(1)
San Francisco, CA, USA
 

For our final chapter, we will be focusing on OpenAI’s gym package, but more importantly trying to understand how we can create our own custom environments so we can tackle more than the typical use cases. Most of this chapter will focus around what I would suggest regarding programming practices for OpenAI as well as recommendations on how I would generally write most of this software. Finally, after we have completed creating an environment, we will move on to focusing on solving the problem. For this instance, we will focus ...

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