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07/20/2023
A Holistic Assessment of the Reliability of Machine Learning Systems
As machine learning (ML) systems increasingly permeate high-stakes setti...
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07/17/2023
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
In this white paper, we synthesize key points made during presentations ...
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05/31/2023
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations
Real-world planning problemsx2014including autonomous driving and sustai...
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05/17/2023
Model-based Validation as Probabilistic Inference
Estimating the distribution over failures is a key step in validating au...
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12/23/2022
Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent
Rather than augmenting rewards with penalties for undesired behavior, Co...
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11/22/2022
A Deep Reinforcement Learning Approach to Rare Event Estimation
An important step in the design of autonomous systems is to evaluate the...
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02/04/2022
Verifying Inverse Model Neural Networks
Inverse problems exist in a wide variety of physical domains from aerosp...
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12/09/2020
Transfer Learning for Efficient Iterative Safety Validation
Safety validation is important during the development of safety-critical...
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05/06/2020
A Survey of Algorithms for Black-Box Safety Validation
Autonomous and semi-autonomous systems for safety-critical applications ...
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04/14/2020
Interpretable Safety Validation for Autonomous Vehicles
An open problem for autonomous driving is how to validate the safety of ...
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04/14/2020
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition
An open question in autonomous driving is how best to use simulation to ...
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04/08/2020
The Adaptive Stress Testing Formulation
Validation is a key challenge in the search for safe autonomy. Simulatio...
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08/02/2019