PaperHub
1.0
/10
Rejected1 位审稿人
最低1最高1标准差0.0
1
5.0
置信度
ICLR 2024

Beyond adversarial examples: sampling and repairing diverse failures with RADIUM

OpenReviewPDF
提交: 2023-09-22更新: 2024-03-26
TL;DR

Our method predicts a diverse set of safety-critical failure scenarios for learning-based autonomous systems, then repairs the control policy to reduce the severity of those failures.

摘要

关键词
failure predictiontest-case generationadversarial optimization

评审与讨论

审稿意见
1

The double-blind review process has been compromised; consequently, I will not be providing a summary or review of the paper.

优点

The double-blind review process has been compromised; consequently, I will not be providing a summary or review of the paper.

缺点

The double-blind review process has been compromised; consequently, I will not be providing a summary or review of the paper.

问题

The double-blind review process has been compromised; consequently, I will not be providing a summary or review of the paper.

伦理问题详情

The double-blind review process has been compromised; consequently, I will not be providing a summary or review of the paper.

评论

Is there a way that we could get some clarification on how the double-blind process was compromised? Is there a way that you or the meta-reviewer could share these concerns with us privately in a way that does not risk compromising the other reviewers? If there is some mistake in our paper that accidentally compromised the double-blind process, we would like to know about it so we can fix the issue.