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Dylan Hadfield-Menell, UC Berkeley/MIT: The value alignment problem in AI

Generally Intelligent

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Imitative Learning

One of your favorite papers is called, on the folly of rewarding a and hoping for b. A paper in imitation learning that i just think it's a fantastic idea captures a lot of what's going on. Data set aggregation helps explain how failure mining systems can go wrong when they're deployed.

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