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cs.GT2024
Axioms for AI Alignment from Human Feedback
Luise Ge, Daniel Halpern, Evi Micha +4
In the context of reinforcement learning from human feedback (RLHF), the reward function is generally derived from maximum likelihood estimation of a random utility model based on…
cs.GT2022
Welfare-Maximizing Pooled Testing
Simon Finster, Michelle González Amador, Edwin Lock +3
Pooled testing increases the reach of scarce diagnostic resources, but optimally composing pools for individuals differing in infection risk and the utility they derive from a nega…