supported by the National Natural Science Foundation of China (52102394,52172384);Hunan Provincial Natural Science Foundation of China (2023JJ10008);Young Elite Scientists Sponsorship Program by CAST (2022QNRC001)。
Unsignalized intersections pose a challenge for autonomous vehicles that must decide how to navigate them safely and efficiently.This paper proposes a reinforcement learning(RL)method for autonomous vehicles to naviga...
supported by the National Key Research and Development Program of China (2020YFB1713800);the National Natural Science Foundation of China (92267205);the Hunan Provincial Innovation Foundation for Postgraduate (CX2022 0267);the Fundamental Research Funds for the Central Universities of Central South University (2022ZZTS0181)。
Dear Editor, This letter proposes a multimodal data-driven reinforcement learning-based method for operational decision-making in industrial processes. Due to the frequent fluctuations of feedstock properties and oper...
supported by the National Key Research,Development Program of China (2020AAA0103404);the Beijing Nova Program (20220484077);the National Natural Science Foundation of China (62073323)。
Due to ever-growing soccer data collection approaches and progressing artificial intelligence(AI) methods, soccer analysis, evaluation, and decision-making have received increasing interest from not only the professio...
supported in part by the National Natural Science Foundation of China (62073342);the National Key Research and Development Program of China (2018YFB1701100)。
The grinding and classification process is one of the key sub-processes in mineral processing, which influences the final process indexes significantly and determines energy and ball consumption of the whole plant. Th...
supported by the National Key R&D Program of China (2022YFB2502900);the National Natural Science Foundation of China (62088102, 61790563)。
With the maturation of autonomous driving technology, the use of autonomous vehicles in a socially acceptable manner has become a growing demand of the public. Human-like autonomous driving is expected due to the impa...
partially supported by the Science and Technology Development Fund of Macao SAR(0050/2020/A1);the National Natural Science Foundation of China(62103411)。
THE current ChatGPT phenomenon has signaled a new era of Artificial Intelligence moving from Algorithmic Intelligence to Linguistic Intelligence where interactive activities between actual and artificial,real and virt...
supported by the National Natural Science Foundation of China(5187051675);。
To improve the safety and driving stability of the autonomous heavy truck, it is necessary to consider the differences of driving behavior and drivable trajectories between the heavy trucks and passenger cars. This st...
supported in part by the National Natural Science Foundation of China(NSFC)(62173325);the Beijing Municipal Natural Science Foundation(L191002).
Dear editor,Deep reinforcement learning(DRL),combining the perception capability of deep learning(DL)and the decision-making capability of reinforcement learning(RL)[1],has been widely investigated for autonomous driv...
Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver’s abilities to control.The human driver,as an essential agent in the driver-veh...