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20232026
most citedUnleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning

5 citations · 11 across the 6 of their papers we have counts for

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cs.LG2026

Ranking and Partitioning of Attention Heads for Sparse and Continual Reinforcement Learning Fine-tuning

Ruizhe Shi, Zaiwen Yang, Qiubo Wang +2

We study sparse and continual reinforcement learning fine-tuning of language models through attention-head ranking and partitioning. For sparse learning, we rank attention heads by…