Michael M. Zavlanos

Duke University — United States

Computer Science · Physical Sciences

39h-index5.7kcitations227works0.62yr avg
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Research Topics

Distributed Control Multi-Agent Systems(88), Formal Methods in Verification(30), Reinforcement Learning in Robotics(28), Robotic Path Planning Algorithms(24), Advanced Bandit Algorithms Research(23)

Publications227 total

FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
Proceedings of the AAAI/ACM Conference on AI Ethics and Society·2025Open Access
Distributionally Robust Federated Learning with Outlier Resilience
arXiv (Cornell University)·2025Open Access
Federated Flow Matching
arXiv (Cornell University)·2025Open Access
Projected Gradient Descent for Constrained Decision-Dependent Optimization
arXiv (Cornell University)·2025Open Access
First- and Zeroth-Order Learning in Asynchronous Games
arXiv (Cornell University)·2025Open Access
Policy Evaluation in Distributional LQR
IEEE Transactions on Automatic Control·2025· 1 cited
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
arXiv (Cornell University)·2025Open Access
LAPP: Large Language Model Feedback for Preference-Driven Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
arXiv (Cornell University)·2025Open Access
Constrained Optimization With Decision-Dependent Distributions
IEEE Transactions on Automatic Control·2025· 1 citedOpen Access
Sequential sensor placement for damage detection under frequency-domain dynamics
Finite Elements in Analysis and Design·2025· 1 cited
A Federated Learning Framework for Ethical Dynamic Treatment Allocation Across Heterogeneous Hospitals
SSRN Electronic Journal·2025Open Access
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare
2024· 2 cited
Transfer Reinforcement Learning in Heterogeneous Action Spaces using Subgoal Mapping
arXiv (Cornell University)·2024Open Access
Inverse Reinforcement Learning from Non-Stationary Learning Agents
arXiv (Cornell University)·2024Open Access
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare
arXiv (Cornell University)·2024· 1 citedOpen Access
Learning of Nash Equilibria in Risk-Averse Games
2024
Network Preference Dynamics Using Lattice Theory
2024
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
arXiv (Cornell University)·2024Open Access
Learning Optimal Strategies for Temporal Tasks in Stochastic Games
IEEE Transactions on Automatic Control·2024· 5 cited
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Frequent Co-authors

George J. Pappas(19), Yiannis Kantaros(8), Nikolaos Chatzipanagiotis(5), Meng Guo(5), Dimos V. Dimarogonas(3), A. Agung Julius(3), Miguel Aranda(3), Gonzalo López‐Nicolás(3), Carlos Sagüés(3), Soomin Lee(3), Savvas G. Loizou(2), Kostas J. Kyriakopoulos(2), Ali Jadbabaie(2), Nathan Michael(2), Alejandro Ribeiro(2), Stephen Boyd(2), Reza Khodayi-mehr(2), Xusheng Luo(2), Yan Zhang(2), Magnus Egerstedt(1)