no code implementations • 1 Apr 2023 • Peter Du, Surya Murthy, Katherine Driggs-Campbell
In this paper we present an adaptive search method for efficiently generating contrasting behaviour summaries with support for continuous state and action spaces.
no code implementations • 1 Apr 2023 • Peter Du, Katherine Driggs-Campbell
Adaptive Stress Testing (AST) is one such method that poses the problem of failure search as a Markov decision process and uses reinforcement learning techniques to find high probability failures.
no code implementations • 8 Jul 2022 • Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katherine Driggs-Campbell
In addition, the attention data in our dataset is captured in both manual and autopilot modes using eye-tracking devices of different resolutions.
no code implementations • 19 Nov 2021 • Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katie Driggs-Campbell
In addition, the attention data in our dataset is captured in both manual and autopilot modes using eye-tracking devices of different resolutions.
no code implementations • 11 Apr 2021 • Peter Du, Katherine Driggs-Campbell, Roy Dong
We then reformulate the constraints of the optimization to mitigate the computational limitations associated with an increase in state dimensionality.
no code implementations • 25 Feb 2021 • Yuan Shen, Niviru Wijayaratne, Peter Du, Shanduojiao Jiang, Katherine Driggs Campbell
The behavior of self driving cars may differ from people expectations, (e. g. an autopilot may unexpectedly relinquish control).
no code implementations • 12 Oct 2019 • Peter Du, Zhe Huang, Tianqi Liu, Ke Xu, Qichao Gao, Hussein Sibai, Katherine Driggs-Campbell, Sayan Mitra
As autonomous systems begin to operate amongst humans, methods for safe interaction must be investigated.
Robotics Multiagent Systems Signal Processing
no code implementations • 2 Aug 2019 • Anthony Corso, Peter Du, Katherine Driggs-Campbell, Mykel J. Kochenderfer
Determining possible failure scenarios is a critical step in the evaluation of autonomous vehicle systems.