[D] What exploration-exploitation strategy do you employ as a human navigating ML?
For me it seems e-greedy with a high alpha, as in reading lots of random abstracts or wikis or blogs, feels the most appropriate since I am getting a very low reward signal for my long term goals.
Has anyone put much thought into their process of acquiring new information and how deeply they need to go on a topic before they can rate its relative importance? And further, the risk of bias causing a dismissal of fruitful lines of inquiry?
The meta aspect of learning is fascinating to me and I am curious which modes of thought work best for people.