6 citations · 8 across the 12 of their papers we have counts for
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cs.LG2024
Skill-Enhanced Reinforcement Learning Acceleration from Heterogeneous Demonstrations
Hanping Zhang, Yuhong Guo
Learning from Demonstration (LfD) is a well-established problem in Reinforcement Learning (RL), which aims to facilitate rapid RL by leveraging expert demonstrations to pre-train t…
cs.LG2024
Reinforcement Learning-Guided Semi-Supervised Learning
Marzi Heidari, Hanping Zhang, Yuhong Guo
In recent years, semi-supervised learning (SSL) has gained significant attention due to its ability to leverage both labeled and unlabeled data to improve model performance, especi…
cs.LG2024★ 1 cited
Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning
Marzi Heidari, Hanping Zhang, Yuhong Guo
In this paper, we present a novel approach termed Prompt-Driven Feature Diffusion (PDFD) within a semi-supervised learning framework for Open World Semi-Supervised Learning (OW-SSL…