activity
20172023
most citedDeep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic

36 citations · 80 across the 24 of their papers we have counts for

collaborators
Showing eess.SYShow all

7 papers · 1 filter

eess.SY2023★ 3 cited

Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control

Dong Chen, Kaixiang Zhang, Yongqiang Wang +3

Connected and autonomous vehicles (CAVs) promise next-gen transportation systems with enhanced safety, energy efficiency, and sustainability. One typical control strategy for CAVs…

eess.SY2021★ 6 cited

Privacy-Preserving Nonlinear Cloud-based Model Predictive Control via Affine Masking

Kaixiang Zhang, Zhaojian Li, Yongqiang Wang +1

With the advent of 5G technology that presents enhanced communication reliability and ultra low latency, there is renewed interest in employing cloud computing to perform high perf…

eess.SY2021★ 36 cited

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…

eess.SY2020★ 1 cited

Privacy-Preserving Dynamic Average Consensus via State Decomposition: Case Study on Multi-Robot Formation Control

Kaixiang Zhang, Zhaojian Li, Yongqiang Wang +2

Dynamic average consensus is a decentralized control/estimation framework where a group of agents cooperatively track the average of local time-varying reference signals. In this p…

eess.SY2020★ 2 cited

Privacy-Preserved Collaborative Estimation for Networked Vehicles with Application to Road Anomaly Detection

Huan Gao, Zhaojian Li, Yongqiang Wang

Road information such as road profile and traffic density have been widely used in intelligent vehicle systems to improve road safety, ride comfort, and fuel economy. However, vehi…

eess.SY2018★ 3 cited

Dynamics Based Privacy Protection for Average Consensus on Directed Graphs

Huan Gao, Yongqiang Wang

Average consensus is key for distributed networks, with applications ranging from network synchronization, distributed information fusion, decentralized control, to load balancing…

eess.SY2017★ 7 cited

Secure and Privacy-Preserving Average Consensus

Minghao Ruan, Muaz Ahmad, Yongqiang Wang

Average consensus is fundamental for distributed systems since it underpins key functionalities of such systems ranging from distributed information fusion, decision-making, to dec…