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10/14/2022
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops
As neural networks become more integrated into the systems that we depen...
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08/19/2021
Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL
The field of Meta Reinforcement Learning (Meta-RL) has seen substantial ...
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04/18/2021
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning
It is essential for an automated vehicle in the field to perform discret...
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03/29/2021
Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography
This paper proposes a method to extract the position and pose of vehicle...
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02/23/2021
An Interaction-aware Evaluation Method for Highly Automated Vehicles
It is important to build a rigorous verification and validation (V V) ...
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12/02/2020
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning
Safeguard functions such as those provided by advanced emergency braking...
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03/18/2020
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles
Deep reinforcement learning methods have been widely used in recent year...
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08/01/2018
