5 citations · 6 across the 4 of their papers we have counts for
4 papers · 1 filter
Intelligent Resilience Testing for Decision-Making Agents with Dual-Mode Surrogate Adaptation
Jingxuan Yang, Weichao Xu, Yuchen Shi +3
Testing and evaluating decision-making agents remains challenging due to unknown system architectures, limited access to internal states, and the vastness of high-dimensional scena…
Few-Shot Testing of Autonomous Vehicles with Scenario Similarity Learning
Shu Li, Honglin He, Jingxuan Yang +3
Testing and evaluation are critical to the development and deployment of autonomous vehicles (AVs). Given the rarity of safety-critical events such as crashes, millions of tests ar…
Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning
Jingxuan Yang, Ruoxuan Bai, Haoyuan Ji +3
The assessment of safety performance plays a pivotal role in the development and deployment of connected and automated vehicles (CAVs). A common approach involves designing testing…
Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity
Shu Li, Jingxuan Yang, Honglin He +3
Testing and evaluating the safety performance of autonomous vehicles (AVs) is essential before the large-scale deployment. Practically, the number of testing scenarios permissible…