Learning Heterogeneous Preferences
Learning from human feedback has become a central paradigm for training modern AI systems, where models of human utility are used as reward models in policy learning. Existing methods typically assume a \emph{universal utility} function shared across a population and treat…
AI Summary & Key Takeaways
- Learning from human feedback has become a central paradigm for training modern AI systems, where models of human utility are used as reward models in policy learning
- Existing methods typically assume a \emph{universal utility} function shared across a population and treat…
Learning Heterogeneous Preferences
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