SharedRep-RLHF learns a shared preference representation across groups to improve worst-case reward estimates for minority annotators, but the theoretical guarantees are undermined by proof errors.
Provably feedback-efficient reinforcement learning via active reward learning
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SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences
SharedRep-RLHF learns a shared preference representation across groups to improve worst-case reward estimates for minority annotators, but the theoretical guarantees are undermined by proof errors.