1 citations · 1 across the 10 of their papers we have counts for
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Active Secure Neighbor Selection in Multi-Agent Systems with Byzantine Attacks
Jinming Gao, Yijing Wang, Wentao Zhang +3
This paper investigates the problem of resilient control for multi-agent systems in the presence of Byzantine adversaries via an active secure neighbor selection framework. A pre-d…
From Learning to Mastery: Achieving Safe and Efficient Real-World Autonomous Driving with Human-In-The-Loop Reinforcement Learning
Li Zeqiao, Wang Yijing, Wang Haoyu +4
Autonomous driving with reinforcement learning (RL) has significant potential. However, applying RL in real-world settings remains challenging due to the need for safe, efficient,…
Resilient Control for Networked Switched Systems With/Without ACK: An Active Quantized Framework
Rui Zhao, Zhiqiang Zuo, Yijing Wang +2
This paper deals with the quantized control problem for switched systems under denial-of-service (DoS) attack. Considering the system's defensive capability and the computational r…
Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving
Li Zeqiao, Wang Yijing, Wang Haoyu +4
Autonomous driving promises significant advancements in mobility, road safety and traffic efficiency, yet reinforcement learning and imitation learning face safe-exploration and di…
A Unified Attack Detection Strategy for Multi-Agent Systems over Transient and Steady Stages
Jinming Gao, Yijing Wang, Wentao Zhang +3
This paper proposes a unified detection strategy against three kinds of attacks for multi-agent systems (MASs) which is applicable to both transient and steady stages. For attacks…