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Safety and Robustness in Decision-making
Mohammad Ghavamzadeh · Shie Mannor · Yisong Yue · Marek Petrik · Yinlam Chow

Fri Dec 13 08:00 AM -- 06:40 PM (PST) @ East Ballroom A
Event URL: https://sites.google.com/view/neurips19-safe-robust-workshop »

Interacting with increasingly sophisticated decision-making systems is becoming more and more a part of our daily life. This creates an immense responsibility for designers of these systems to build them in a way to guarantee safe interaction with their users and good performance, in the presence of noise and changes in the environment, and/or of model misspecification and uncertainty. Any progress in this area will be a huge step forward in using decision-making algorithms in emerging high stakes applications, such as autonomous driving, robotics, power systems, health care, recommendation systems, and finance.

This workshop aims to bring together researchers from academia and industry in order to discuss main challenges, describe recent advances, and highlight future research directions pertaining to develop safe and robust decision-making systems. We aim to highlight new and emerging theoretical and applied research opportunities for the community that arise from the evolving needs for decision-making systems and algorithms that guarantee safe interaction and good performance under a wide range of uncertainties in the environment.

Author Information

Mohammad Ghavamzadeh (Facebook AI Research)
Shie Mannor (Technion)
Yisong Yue (Caltech)
Marek Petrik (University of New Hampshire)
Yinlam Chow (Google Research)

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