most citedHuman-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning

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cs.AI2023★ 1 cited

Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandit

Tian Huang, Shengbo Wang, Ke Li

Optimization problems find widespread use in both single-objective and multi-objective scenarios. In practical applications, users aspire for solutions that converge to the region…