We'll wrap up this exploration of Q-learning by discussing some future projects you can work on to build your skills as a reinforcement learning (RL) researcher and practitioner. We'll also discuss some other publications and sources of information you might find interesting and helpful as you continue your work in this discipline.
In the course of this chapter, we'll be finding additional tools and frameworks we can use with OpenAI Gym, as well as more environments to work with. Gym has a wealth of environments you can use to build your RL algorithm design skills. In addition, it gives you the ability to create your own environments for others to use.
We'll also become familiar with interesting and difficult problems that the RL community is working on, with examples such as recommendation systems. We&apos...
