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by Vadim Kosoy 72 days ago | Abram Demski likes this | link | parent

Delegative Reinforcement Learning solves this problem by keeping humans in the loop while preserving consequentialist reasoning. Ofc currently the theory is based on a lot of simplification and the ultimate learning protocol will probably look differently, but I think that the basic mechanism (delegation combined with model-based reasoning) is sound.





I think that in that case,
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Two minor comments. First,
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A: While that is a really
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> The true reason to do
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A few comments. Traps are
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I'm not convinced exploration
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Update: This isn't really an
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If you drop the
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Cool! I'm happy to see this
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Caveat: The version of EDT
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[Delegative Reinforcement
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Intermediate update: The
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Since Briggs [1] shows that
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This doesn't quite work. The
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I at first didn't understand
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