After doing some more thorough reading and experimentation with the tutorials, I have decided that the Google Deep Mind control components are more heavyweight than I need. They have a dependency on a pay-to-license physics simulation engine that I don't need, mujoco. So instead I am narrowing my list of components some, to deep mind acme (dm_acme), the deep mind environment (dm_env) package, and openai gym. Together they provide a framework for easier implementation and a sample case of reinforcement learning agents.
ps: If you read this post aloud to someone, be thoughtful how you place the pauses when you say "google deep mind control".