Task Specialization Fine-Tuning for Contextual Reinforcement Learning
Task Specialization Fine-Tuning (TSFT), an online framework that predicts fine-tuning performance with a simple parametric model and exactly solves the resulting discrete budget allocation problem via integer linear programming, is proposed.
Jianan Zhou, Jung-Hoon Cho, Tianyue Zhou et al.
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