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[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.

submitted by /u/AbitofAsum
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