the notebook recaps the points of class 1, some things with rephrasing
   that adds clarity.
   it runs by default on colab. huggingface also supports amazon.
   step 0 is to change the runtime to gpu and I gotta remember this is a
   dangerous trap: my runtime is already set to gpu.
   the runtime on colab is just like what kind of system the code executes
   on. the ones without gpus are lighter weight.
   the first code is for a "virtual screen" to render results . I wonder
   if it would work on a headless system :D
   from pyvirtualdisplay import Display # is on pip, also uses apt to
   install python-opengl, ffmpeg, xvfb
   virtual_display = Display(visible=0, size=(1400, 900))
   virtual_display.start()
   They say these are the base dependencies they're using, all on pip:
   gym[box2d] # contains lunarlander environment
   stable-baselines3[extra] # deep rl library
   huggingface_sb3 # lets sb3 use hugging face hub models, a new one on
   me, sounds powerful
   pyglet
   ale-py==0.7.4 # works around stable-baselines3 issue #875