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Xiaolong Bai

2 accepted papers

2021

Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention

CoRL 2021poster

Safety has become one of the main challenges of applying deep reinforcement learning to real world systems. Currently, the incorporation of external knowledge such as human oversight is the only means to prevent the agent from visiting the catastrophic state. In this paper, we propose MBHI, a novel…

Cited by 15SourceScholar
2021

SimROD: A Simple Adaptation Method for Robust Object Detection

ICCV 2021poster

This paper presents a Simple and effective unsupervised adaptation method for Robust Object Detection (SimROD). To overcome the challenging issues of domain shift and pseudo-label noise, our method integrates a novel domain-centric data augmentation, a gradual self-labeling adaptation procedure, and…

Cited by 61PDFcodeScholar