most citedToward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

219 citations · 232 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CY2020219 cited

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Miles Brundage, Shahar Avin, Jasmine Wang +56

With the recent wave of progress in artificial intelligence (AI) has come a growing awareness of the large-scale impacts of AI systems, and recognition that existing regulations an…

cs.RO20209 cited

The Adaptive Stress Testing Formulation

Mark Koren, Anthony Corso, Mykel J. Kochenderfer

Validation is a key challenge in the search for safe autonomy. Simulations are often either too simple to provide robust validation, or too complex to tractably compute. Therefore,…

cs.LG2020

Adaptive Stress Testing without Domain Heuristics using Go-Explore

Mark Koren, Mykel J. Kochenderfer

Recently, reinforcement learning (RL) has been used as a tool for finding failures in autonomous systems. During execution, the RL agents often rely on some domain-specific heurist…

cs.LG2019

Efficient Autonomy Validation in Simulation with Adaptive Stress Testing

Mark Koren, Mykel Kochenderfer

During the development of autonomous systems such as driverless cars, it is important to characterize the scenarios that are most likely to result in failure. Adaptive Stress Testi…

cs.RO20194 cited

Adaptive Stress Testing for Autonomous Vehicles

Mark Koren, Saud Alsaif, Ritchie Lee +1

This paper presents a method for testing the decision making systems of autonomous vehicles. Our approach involves perturbing stochastic elements in the vehicle's environment until…