no code implementations • 11 Mar 2024 • Xuefeng Wang, Henglin Pu, Hyung Jun Kim, Husheng Li
To bridge this gap, we propose a novel method called Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning (DeepSafeMPC).
Model Predictive Control Multi-agent Reinforcement Learning +1
no code implementations • 22 Aug 2023 • Peiheng Gao, Ning Sun, Xuefeng Wang, Chen Yang, Ričardas Zitikis
We develop an NLP-based procedure for detecting systematic nonmeritorious consumer complaints, simply called systematic anomalies, among complaint narratives.
no code implementations • 24 Feb 2023 • Xuefeng Wang, Xinran Li, Jiawei Shao, Jun Zhang
Learning communication strategies in cooperative multi-agent reinforcement learning (MARL) has recently attracted intensive attention.
Multi-agent Reinforcement Learning reinforcement-learning +2
no code implementations • 30 Jun 2022 • Yuting Wang, Hangning Zhou, Zhigang Zhang, Chen Feng, Huadong Lin, Chaofei Gao, Yizhi Tang, Zhenting Zhao, Shiyu Zhang, Jie Guo, Xuefeng Wang, Ziyao Xu, Chi Zhang
This technical report presents an effective method for motion prediction in autonomous driving.
Ranked #12 on Motion Forecasting on Argoverse CVPR 2020
no code implementations • 28 Mar 2015 • Zhanbin Bai, Rui Wang, Yazhou Zhou, Tianru Wu, Jianlei Ge, Jing Li, Yuyuan Qin, Fucong Fei, Lu Cao, Xuefeng Wang, Xinran Wang, Shuai Zhang, Liling Sun, You Song, Fengqi Song
On the efforts of enhancing the spin orbit interaction (SOI) of graphene for seeking the dissipationless quantum spin Hall devices, unique Kane-Mele type SOI and high mobility samples are desired.
Mesoscale and Nanoscale Physics