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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.

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.