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Zirui Xu
Zirui Xu
PhD Candidate, University of Michigan
Bestätigte E-Mail-Adresse bei umich.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Online Submodular Coordination with Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination
Z Xu, H Zhou, V Tzoumas
IEEE Robotics and Automation Letters, 2023
92023
Resource-Aware Distributed Submodular Maximization: A Paradigm for Multi-Robot Decision-Making
Z Xu, V Tzoumas
2022 IEEE 61st Conference on Decision and Control (CDC), 5959-5966, 2022
92022
Efficient online learning with memory via frank-wolfe optimization: Algorithms with bounded dynamic regret and applications to control
H Zhou, Z Xu, V Tzoumas
2023 62nd IEEE Conference on Decision and Control (CDC), 8266-8273, 2023
82023
Online, Model-Free Motion Planning in Dynamic Environments: An Intermittent, Finite Horizon Approach with Continuous-Time Q-Learning
GP Kontoudis, Z Xu, KG Vamvoudakis
2020 American Control Conference (ACC), 3873-3878, 2020
82020
Online and Robust Intermittent Motion Planning in Dynamic and Changing Environments
Z Xu, GP Kontoudis, KG Vamvoudakis
IEEE Transactions on Neural Networks and Learning Systems, 2023
32023
Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments
Z Xu, X Lin, V Tzoumas
Robotics: Science and Systems (RSS), 2023
32023
RRT-QX: Real-Time Kinodynamic Motion Planning in Dynamic Environments with Continuous-Time Reinforcement Learning
GP Kontoudis, KG Vamvoudakis, Z Xu
Brain and Cognitive Intelligence: Control in Robotics, B. Wei, Ed. Taylor …, 2022
32022
Leveraging Untrustworthy Commands for Multi-Robot Coordination in Unpredictable Environments: A Bandit Submodular Maximization Approach
Z Xu, X Lin, V Tzoumas
arXiv preprint arXiv:2309.16161, 2023
12023
Performance-Aware Self-Configurable Multi-Agent Networks: A Distributed Submodular Approach for Simultaneous Coordination and Network Design
Z Xu, V Tzoumas
2024
Resource-Aware Simulator for Decentralized Active Perception with Multiple Robots
SS Garimella, Z Xu, V Tzoumas
IROS Workshop on Advances in Multi-Agent Learning - Coordination, Perception …, 2023
2023
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