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by Vadim Kosoy 8 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.



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