Bayesian Optimization for Automatic Tuning of an Energy Aware 2-D Vehicle Platoon

N Zhang, S Nazari, J Chen, X Xu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Vehicle platoon has the potential of improving the safety and efficiency of road transportation
systems. Nevertheless, an integrated control of vehicle longitudinal and lateral motions is …

Efficient Generation of Safety-Critical Scenarios Combining Dynamic and Static Scenario Parameters

Z Wang, X Li, D Wei, L Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the rarity of safety-critical scenarios, the safety of autonomous driving decision-
making algorithms cannot be fully guaranteed in open environments, which limits their …

A Model-Based Reinforcement Learning Method with Conditional Variational Auto-Encoder

T Zhu, R Ren, Y Li, W Liu - Journal of Data Science and …, 2024 - ojs.bonviewpress.com
Abstract Model-based reinforcement learning can effectively improve the sample efficiency
of reinforcement learning, but the environment model in this method has errors. The model …