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Youngjun Suh

1 paper indexed

arxivcs.LGcs.AI2026-06-30

AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL

Woosung Kim, Youngjun Suh, Jinho Lee, Jongmin Lee, Byung-Jun Lee

Optimizing nonlinear preferences in multi-objective reinforcement learning (MORL) is essential for capturing complex trade-offs like risk aversion or fairness. However, such non-linearity has historically bifurcated nonlinear MORL objectives into two distinct paradigms: Scalarize…

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