Diversity-Driven Offline Multi-Objective Optimization via Nested Pareto Set Learning. A risk-aware framework that learns diverse Pareto solutions from offline data by combining energy-based OOD risk control with nested preference-model optimization and a novel IGD_off selection strategy. ICML 2026.
☆14Jun 3, 2026Updated 5 months ago
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