36 citations · 43 across the 5 of their papers we have counts for
5 papers
AI of Brain and Cognitive Sciences: From the Perspective of First Principles
Luyao Chen, Zhiqiang Chen, Longsheng Jiang +13
Nowadays, we have witnessed the great success of AI in various applications, including image classification, game playing, protein structure analysis, language translation, and con…
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic
Dong Chen, Mohammad Hajidavalloo, Zhaojian Li +4
On-ramp merging is a challenging task for autonomous vehicles (AVs), especially in mixed traffic where AVs coexist with human-driven vehicles (HDVs). In this paper, we formulate th…
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model
Dong Chen, Longsheng Jiang, Yue Wang +1
It is expected that many human drivers will still prefer to drive themselves even if the self-driving technologies are ready. Therefore, human-driven vehicles and autonomous vehicl…
Respect Your Emotion: Human-Multi-Robot Teaming based on Regret Decision Model
Longsheng Jiang, Yue Wang
Often, when modeling human decision-making behaviors in the context of human-robot teaming, the emotion aspect of human is ignored. Nevertheless, the influence of emotion, in some…
A Human-Computer Interface Design for Quantitative Measure of Regret Theory
Longsheng Jiang, Yue Wang
Regret theory is a theory that describes human decision-making under risk. The key of obtaining a quantitative model of regret theory is to measure the preference in humans' mind w…