Feb. 13, 2024, 5:41 a.m. | Han Shen Zhuoran Yang Tianyi Chen

cs.LG updates on arXiv.org arxiv.org

Bilevel optimization has been recently applied to many machine learning tasks. However, their applications have been restricted to the supervised learning setting, where static objective functions with benign structures are considered. But bilevel problems such as incentive design, inverse reinforcement learning (RL), and RL from human feedback (RLHF) are often modeled as dynamic objective functions that go beyond the simple static objective structures, which pose significant challenges of using existing bilevel solutions. To tackle this new class of bilevel problems, …

applications cs.lg design feedback functions human human feedback machine machine learning math.oc optimization reinforcement reinforcement learning rlhf stat.ml supervised learning tasks

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