MO-PQUCB hybrid algorithm integrates proactive conversational queries with bandit feedback via shift-invariant regularization to achieve improved regret bounds in personalized multi-objective bandits.
arXiv preprint arXiv:2502.13457 , year=
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Provably Efficient Personalized Multi-Objective Bandits with Proactive Conversational Queries
MO-PQUCB hybrid algorithm integrates proactive conversational queries with bandit feedback via shift-invariant regularization to achieve improved regret bounds in personalized multi-objective bandits.