Michael M. Zavlanos

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 129

Top Venues

CoRR

CDC

IEEE Trans. Autom. Control.

IEEE Trans. Robotics

Publications

Yan Zhang, Michael M. Zavlanos
Cooperative Multiagent Reinforcement Learning With Partial Observations. IEEE Trans. Autom. Control. 69 (2) (2024)
Hans Riess, Manolis Veveakis, Michael M. Zavlanos
Path Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together? CoRR (2024)
Siyi Wang, Zifan Wang, Xinlei Yi, Michael M. Zavlanos, Karl Henrik Johansson, Sandra Hirche
Risk-averse Learning with Non-Stationary Distributions. CoRR (2024)
Pingcheng Jian, Easop Lee, Zachary I. Bell, Michael M. Zavlanos, Boyuan Chen
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies. CoRR (2024)
Yi Shen, Pan Xu, Michael M. Zavlanos
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024)
Zifan Wang, Yulong Gao, Siyi Wang, Michael M. Zavlanos, Alessandro Abate, Karl Henrik Johansson
Policy Evaluation in Distributional LQR. CoRR (2023)
Yi Shen, Benjamin McClosky, Joseph W. Durham, Michael M. Zavlanos
Multi-Agent Reinforcement Learning for Resource Allocation in Large-Scale Robotic Warehouse Sortation Centers. CDC (2023)
Pingcheng Jian, Easop Lee, Zachary I. Bell, Michael M. Zavlanos, Boyuan Chen
Policy Stitching: Learning Transferable Robot Policies. CoRL (2023)
Hans Riess, Michael C. Munger, Michael M. Zavlanos
Max-Plus Synchronization in Decentralized Trading Systems. CDC (2023)
Panagiotis Vlantis, Leila Bridgeman, Michael M. Zavlanos
Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe. L4DC (2023)
Hans Riess, Gregory Henselman-Petrusek, Michael C. Munger, Robert Ghrist, Zachary I. Bell, Michael M. Zavlanos
Network Preference Dynamics using Lattice Theory. CoRR (2023)
Zifan Wang, Yulong Gao, Siyi Wang, Michael M. Zavlanos, Alessandro Abate, Karl Henrik Johansson
Policy Evaluation in Distributional LQR. L4DC (2023)
Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson
Convergence Analysis of the Best Response Algorithm for Time-Varying Games. CoRR (2023)
Pingcheng Jian, Easop Lee, Zachary I. Bell, Michael M. Zavlanos, Boyuan Chen
Policy Stitching: Learning Transferable Robot Policies. CoRR (2023)
Yi Shen, Pan Xu, Michael M. Zavlanos
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits. CoRR (2023)
Hans Riess, Michael Munger, Michael M. Zavlanos
Max-Plus Synchronization in Decentralized Trading Systems. CoRR (2023)
Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson
Convergence Analysis of the Best Response Algorithm for Time-Varying Games. CDC (2023)
Reza Khodayi-mehr, Pingcheng Jian, Michael M. Zavlanos
Physics-Guided Active Learning of Environmental Flow Fields. L4DC (2023)
Mikhail Hayhoe, Hans Riess, Michael M. Zavlanos, Victor M. Preciado, Alejandro Ribeiro
Transferable Hypergraph Neural Networks via Spectral Similarity. LoG (2023)
Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games. CDC (2022)
Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos
A new one-point residual-feedback oracle for black-box learning and control. Autom. 136 (2022)
Yi Shen, Jessilyn Dunn, Michael M. Zavlanos
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health. CoRR (2022)
Shiqi Sun, Yan Zhang, Xusheng Luo, Panagiotis Vlantis, Miroslav Pajic, Michael M. Zavlanos
Formal Verification of Stochastic Systems with ReLU Neural Network Controllers. ICRA (2022)
Yi Shen, Jessilyn Dunn, Michael M. Zavlanos
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health. CDC (2022)
Zifan Wang, Yi Shen, Michael M. Zavlanos
Risk-Averse No-Regret Learning in Online Convex Games. CoRR (2022)
Zifan Wang, Yi Shen, Michael M. Zavlanos
Risk-Averse No-Regret Learning in Online Convex Games. ICML (2022)
Xusheng Luo, Michael M. Zavlanos
Temporal Logic Task Allocation in Heterogeneous Multirobot Systems. IEEE Trans. Robotics 38 (6) (2022)
Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games. CoRR (2022)
James D. Turner, James McMahon, Michael M. Zavlanos
Receding Horizon Tracking of an Unknown Number of Mobile Targets using a Bearings-Only Sensor. ICRA (2022)
Alper Kamil Bozkurt, Yu Wang, Michael M. Zavlanos, Miroslav Pajic
Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives. ICRA (2021)
Xusheng Luo, Miroslav Pajic, Michael M. Zavlanos
An optimal graph-search method for secure state estimation. Autom. 123 (2021)
Yijie Zhou, Yan Zhang, Xusheng Luo, Michael M. Zavlanos
Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback. CDC (2021)
Chenyu Liu, Yan Zhang, Yi Shen, Michael M. Zavlanos
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning. CoRR (2021)
Shiqi Sun, Yan Zhang, Xusheng Luo, Panagiotis Vlantis, Miroslav Pajic, Michael M. Zavlanos
Formal Verification of Stochastic Systems with ReLU Neural Network Controllers. CoRR (2021)
Xusheng Luo, Michael M. Zavlanos
Temporal Logic Task Allocation in Heterogeneous Multi-Robot Systems. CoRR (2021)
Xusheng Luo, Yiannis Kantaros, Michael M. Zavlanos
An Abstraction-Free Method for Multirobot Temporal Logic Optimal Control Synthesis. IEEE Trans. Robotics 37 (5) (2021)
Yi Shen, Yan Zhang, Scott Nivison, Zachary I. Bell, Michael M. Zavlanos
Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback. CDC (2021)
Luke Calkins, Joseph F. Lingevitch, Joe Coffin, Loy McGuire, Jason Geder, Matthew Kelly, Michael M. Zavlanos, Donald Sofge, Daniel M. Lofaro
Distance Estimation Using Self-Induced Noise of an Aerial Vehicle. IEEE Robotics Autom. Lett. 6 (2) (2021)
Luke Calkins, Philip D. Baldoni, James McMahon, Corbin Wilhelmi, Michael M. Zavlanos
Bearing-Only Active Sensing Under Merged Measurements. IEEE Robotics Autom. Lett. 6 (3) (2021)
Panagiotis Vlantis, Michael M. Zavlanos
Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe. CoRR (2021)
Chenyu Liu, Yan Zhang, Yi Shen, Michael M. Zavlanos
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning. L4DC (2021)
Luke Calkins, Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos
Sensor Planning for Model-Based Acoustic Source Identification. ACC (2020)
Alper Kamil Bozkurt, Yu Wang, Michael M. Zavlanos, Miroslav Pajic
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning. ICRA (2020)
Yan Zhang, Michael M. Zavlanos
Transfer Reinforcement Learning under Unobserved Contextual Information. CoRR (2020)
Reza Khodayi-mehr, Michael M. Zavlanos
Deep Learning for Robotic Mass Transport Cloaking. IEEE Trans. Robotics 36 (3) (2020)
Yan Zhang, Michael M. Zavlanos
Transfer Reinforcement Learning under Unobserved Contextual Information. ICCPS (2020)
Reza Khodayi-mehr, Matthew W. Urban, Michael M. Zavlanos, Wilkins Aquino
Plane Wave Elastography: A Frequency-Domain Ultrasound Shear Wave Elastography Approach. CoRR (2020)
Santiago Paternain, Soomin Lee, Michael M. Zavlanos, Alejandro Ribeiro
Distributed Constrained Online Learning. IEEE Trans. Signal Process. 68 (2020)
Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos
Improving the Convergence Rate of One-Point Zeroth-Order Optimization using Residual Feedback. CoRR (2020)
Yan Zhang, Michael M. Zavlanos
Augmented Lagrangian optimization under fixed-point arithmetic. Autom. 122 (2020)
Duc M. Le, Xusheng Luo, Leila Jasmine Bridgeman, Michael M. Zavlanos, Warren E. Dixon
Single-Agent Indirect Herding of Multiple Targets using Metric Temporal Logic Switching. CDC (2020)
Yijie Zhou, Yan Zhang, Xusheng Luo, Michael M. Zavlanos
Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback. CoRR (2020)
Qitong Gao, Miroslav Pajic, Michael M. Zavlanos
Deep Imitative Reinforcement Learning for Temporal Logic Robot Motion Planning with Noisy Semantic Observations. ICRA (2020)
Reza Khodayi-Mehr, Michael M. Zavlanos
VarNet: Variational Neural Networks for the Solution of Partial Differential Equations. L4DC (2020)
Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos
Boosting One-Point Derivative-Free Online Optimization via Residual Feedback. CoRR (2020)
Yiannis Kantaros, Michael M. Zavlanos
: A Temporal Logic Optimal Control Synthesis Algorithm for Large-Scale Multi-Robot Systems. Int. J. Robotics Res. 39 (7) (2020)
Yan Zhang, Michael M. Zavlanos
Cooperative Multi-Agent Reinforcement Learning with Partial Observations. CoRR (2020)
Alper Kamil Bozkurt, Yu Wang, Michael M. Zavlanos, Miroslav Pajic
Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives. CoRR (2020)
Xusheng Luo, Yan Zhang, Michael M. Zavlanos
Socially-Aware Robot Planning via Bandit Human Feedback. ICCPS (2020)
Luke Calkins, Joseph F. Lingevitch, Loy McGuire, Jason Geder, Matthew Kelly, Michael M. Zavlanos, Donald Sofge, Daniel M. Lofaro
Bio-Inspired Distance Estimation using the Self-Induced Acoustic Signature of a Motor-Propeller System. ICRA (2020)
Xusheng Luo, Yan Zhang, Michael M. Zavlanos
Socially-Aware Robot Planning via Bandit Human Feedback. CoRR (2020)
Reza Khodayi-Mehr, Michael M. Zavlanos
VarNet: Variational Neural Networks for the Solution of Partial Differential Equations. CoRR (2019)
Yan Zhang, Robert J. Ravier, Michael M. Zavlanos, Vahid Tarokh
A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret. CDC (2019)
Yan Zhang, Robert J. Ravier, Michael M. Zavlanos, Vahid Tarokh
A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret. CoRR (2019)
Xusheng Luo, Michael M. Zavlanos
Transfer Planning for Temporal Logic Tasks. CDC (2019)
Reza Khodayi-mehr, Yiannis Kantaros, Michael M. Zavlanos
Distributed State Estimation Using Intermittently Connected Robot Networks. IEEE Trans. Robotics 35 (3) (2019)
Reza Khodayi-mehr, Michael M. Zavlanos
Nonlinear Reduced Order Source Identification under Uncertainty. CDC (2019)
Yan Zhang, Michael M. Zavlanos
Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus. CoRR (2019)
Yiannis Kantaros, Meng Guo, Michael M. Zavlanos
Temporal Logic Task Planning and Intermittent Connectivity Control of Mobile Robot Networks. IEEE Trans. Autom. Control. 64 (10) (2019)
Alper Kamil Bozkurt, Yu Wang, Michael M. Zavlanos, Miroslav Pajic
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning. CoRR (2019)
Qitong Gao, Davood Hajinezhad, Yan Zhang, Yiannis Kantaros, Michael M. Zavlanos
Reduced variance deep reinforcement learning with temporal logic specifications. ICCPS (2019)
Yan Zhang, Michael M. Zavlanos
Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus. CDC (2019)
Xusheng Luo, Miroslav Pajic, Michael M. Zavlanos
A Scalable and Optimal Graph-Search Method for Secure State Estimation. CoRR (2019)
Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos
Model-Based Active Source Identification in Complex Environments. IEEE Trans. Robotics 35 (3) (2019)
Wann-Jiun Ma, Chanwook Oh, Yang Liu, Darinka Dentcheva, Michael M. Zavlanos
Risk-Averse Access Point Selection in Wireless Communication Networks. IEEE Trans. Control. Netw. Syst. 6 (1) (2019)
Xusheng Luo, Yiannis Kantaros, Michael M. Zavlanos
An Abstraction-Free Method for Multi-Robot Temporal Logic Optimal Control Synthesis. CoRR (2019)
Yiannis Kantaros, Michael M. Zavlanos
Sampling-Based Optimal Control Synthesis for Multirobot Systems Under Global Temporal Tasks. IEEE Trans. Autom. Control. 64 (5) (2019)
Santiago Paternain, Soomin Lee, Michael M. Zavlanos, Alejandro Ribeiro
Constrained Online Learning in Networks with Sublinear Regret and Fit. CDC (2019)
Reza Khodayi-mehr, Yiannis Kantaros, Michael M. Zavlanos
Distributed State Estimation Using Intermittently Connected Robot Networks. CoRR (2018)
Yiannis Kantaros, Michael M. Zavlanos
: A Temporal Logic Optimal Control Synthesis Algorithm for Large-Scale Multi-Robot Systems. CoRR (2018)
Yiannis Kantaros, Michael M. Zavlanos
Distributed optimal control synthesis for multi-robot systems under global temporal tasks. ICCPS (2018)
Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos
Distributed Reduced Order Source Identification. ACC (2018)
Yiannis Kantaros, Michael M. Zavlanos
Distributed Intermittent Communication Control of Mobile Robot Networks Under Time-Critical Dynamic Tasks. ICRA (2018)
Meng Guo, Michael M. Zavlanos
Multirobot Data Gathering Under Buffer Constraints and Intermittent Communication. IEEE Trans. Robotics 34 (4) (2018)
Soomin Lee, Nikolaos Chatzipanagiotis, Michael M. Zavlanos
Complexity Certification of a Distributed Augmented Lagrangian Method. IEEE Trans. Autom. Control. 63 (3) (2018)
Charles Freundlich, Yan Zhang, Michael M. Zavlanos
Distributed Hierarchical Control for State Estimation With Robotic Sensor Networks. IEEE Trans. Control. Netw. Syst. 5 (4) (2018)
Soomin Lee, Michael M. Zavlanos
Approximate Projection Methods for Decentralized Optimization With Functional Constraints. IEEE Trans. Autom. Control. 63 (10) (2018)
Davood Hajinezhad, Michael M. Zavlanos
Gradient-Free Multi-Agent Nonconvex Nonsmooth Optimization. CDC (2018)
Luke Calkins, Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos
Physics-Based Acoustic Source Identification. CDC (2018)
Meng Guo, Michael M. Zavlanos
Probabilistic Motion Planning Under Temporal Tasks and Soft Constraints. IEEE Trans. Autom. Control. 63 (12) (2018)
Yan Zhang, Michael M. Zavlanos
A Consensus-Based Distributed Augmented Lagrangian Method. CDC (2018)
Charles Freundlich, Soomin Lee, Michael M. Zavlanos
Distributed Active State Estimation With User-Specified Accuracy. IEEE Trans. Autom. Control. 63 (2) (2018)
Yiannis Kantaros, Benjamin V. Johnson, Sagar Chowdhury, David J. Cappelleri, Michael M. Zavlanos
Control of Magnetic Microrobot Teams for Temporal Micromanipulation Tasks. CoRR (2018)
Reza Khodayi-mehr, Michael M. Zavlanos
Model-Based Learning of Turbulent Flows using Mobile Robots. CoRR (2018)
Yiannis Kantaros, Benjamin V. Johnson, Sagar Chowdhury, David J. Cappelleri, Michael M. Zavlanos
Control of Magnetic Microrobot Teams for Temporal Micromanipulation Tasks. IEEE Trans. Robotics 34 (6) (2018)
Yihui Feng, Reza Khodayi-mehr, Yiannis Kantaros, Luke Calkins, Michael M. Zavlanos
Active Acoustic Impedance Mapping Using Mobile Robots. CDC (2018)
Reza Khodayi-mehr, Michael M. Zavlanos
Deep Learning for Robotic Mass Transport Cloaking. CoRR (2018)
Yiannis Kantaros, Michael M. Zavlanos
States and Beyond. CDC (2018)
Meng Guo, Michael M. Zavlanos
Multi-Robot Data Gathering Under Buffer Constraints and Intermittent Communication. CoRR (2017)
Yiannis Kantaros, Michael M. Zavlanos
Sampling-based control synthesis for multi-robot systems under global temporal specifications. ICCPS (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael M. Zavlanos