Training and testing the deep n-step advantage actor-critic agent

Because our agent's implementation is generic (as discussed using the table in step 1 in the previous section), we can use any learning environment that has Gym-compatible interfaces to train/test the agent. You can experiment and train the agent in a variety of environments that we discussed in the initial chapters of this book, and we will also be discussing some more interesting learning environments in the next chapter. Don't forget about our custom CARLA car driving environment!

We will pick a few environments as examples and walk through how you can launch the training and testing process to get you started experimenting on your own. First, update your fork of the book's ...

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