Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning

no code implementations • 17 Apr 2024 • 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).

Open-World Semi-Supervised Learning Representation Learning

Safe Reinforcement Learning with Contrastive Risk Prediction

no code implementations • 10 Sep 2022 • Hanping Zhang, Yuhong Guo

As safety violations can lead to severe consequences in real-world robotic applications, the increasing deployment of Reinforcement Learning (RL) in robotic domains has propelled the study of safe exploration for reinforcement learning (safe RL).

reinforcement-learning Reinforcement Learning (RL) +2

Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation

no code implementations • 29 Jun 2021 • Hanping Zhang, Yuhong Guo

In this work, we propose a novel policy-aware adversarial data augmentation method to augment the standard policy learning method with automatically generated trajectory data.

Data Augmentation reinforcement-learning +1