With the development of electric vehicles, more and more electric vehicl...
This paper proposes a novel deep learning framework for multi-modal moti...
Reinforcement learning requires skillful definition and remarkable
compu...
Predicting the behaviors of other agents on the road is critical for
aut...
To further improve the learning efficiency and performance of reinforcem...
Due to the limited smartness and abilities of machine intelligence, curr...
Deep reinforcement learning (DRL) is a promising way to achieve human-li...
Currently, urban autonomous driving remains challenging because of the
c...
Human driving behavior modeling is of great importance for designing saf...
This study aims to improve the control performance and generalization
ca...