most citedPolicy Regularization with Dataset Constraint for Offline Reinforcement Learning

3 citations · 3 across the 3 of their papers we have counts for

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cs.LG2025

Two Is Better Than One: Rotations Scale LoRAs

Hongcan Guo, Guoshun Nan, Yuan Yang +9

Scaling Low-Rank Adaptation (LoRA)-based Mixture-of-Experts (MoE) facilitates large language models (LLMs) to efficiently adapt to diverse tasks. However, traditional gating mechan…

cs.LG2023★ 3 cited

Policy Regularization with Dataset Constraint for Offline Reinforcement Learning

Yuhang Ran, Yi-Chen Li, Fuxiang Zhang +2

We consider the problem of learning the best possible policy from a fixed dataset, known as offline Reinforcement Learning (RL). A common taxonomy of existing offline RL works is p…