Maryam Kamgarpour

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 116

Top Venues

CoRR

CDC

ECC

IEEE Trans. Autom. Control.

Publications

Titouan Renard, Andreas Schlaginhaufen, Tingting Ni, Maryam Kamgarpour
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm. CoRR (2024)
Anna M. Maddux, Maryam Kamgarpour
Multi-Agent Learning in Contextual Games under Unknown Constraints. AISTATS (2024)
Tatiana Tatarenko, Maryam Kamgarpour
Convergence Rate of Learning a Strongly Variationally Stable Equilibrium. ECC (2024)
Arega Getaneh Abate, Dorsa Majdi, Jalal Kazempour, Maryam Kamgarpour
Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm. CoRR (2024)
Anna M. Maddux, Reda Ouhamma, Maryam Kamgarpour
Finite-time convergence to an ε-efficient Nash equilibrium in potential games. CoRR (2024)
Kai Ren, Colin Chen, Hyeontae Sung, Heejin Ahn, Ian M. Mitchell, Maryam Kamgarpour
Safe Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty. CoRR (2024)
Andreas Schlaginhaufen, Maryam Kamgarpour
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning. CoRR (2024)
Baiwei Guo, Yang Wang, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari-Trecate
Safe Zeroth-Order Optimization Using Linear Programs. CoRR (2023)
Baiwei Guo, Yang Wang, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari-Trecate
Safe Zeroth-Order Optimization Using Linear Programs. CDC (2023)
Anna M. Maddux, Maryam Kamgarpour
Multi-Agent Learning in Contextual Games under Unknown Constraints. CoRR (2023)
Andreas Schlaginhaufen, Maryam Kamgarpour
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning. ICML (2023)
Andreas Schlaginhaufen, Maryam Kamgarpour
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning. CoRR (2023)
Tingting Ni, Maryam Kamgarpour
Interior Point Constrained Reinforcement Learning with Global Convergence Guarantees. CoRR (2023)
Gabriel Vallat, Jingwen Wang, Anna M. Maddux, Maryam Kamgarpour, Stefana Parascho
Reinforcement learning for scaffold-free construction of spanning structures. SCF (2023)
Reda Ouhamma, Maryam Kamgarpour
Learning Nash Equilibria in Zero-Sum Markov Games: A Single Time-scale Algorithm Under Weak Reachability. CoRR (2023)
Tony A. Wood, Maryam Kamgarpour
Certification of Bottleneck Task Assignment With Shortest Path Criteria. IEEE Robotics Autom. Lett. 8 (8) (2023)
Daniel Tihanyi, Yimeng Lu, Orcun Karaca, Maryam Kamgarpour
Multi-robot task allocation for safe planning against stochastic hazard dynamics. ECC (2023)
Kai Ren, Heejin Ahn, Maryam Kamgarpour
Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty. IEEE Control. Syst. Lett. 7 (2023)
Baiwei Guo, Yuning Jiang, Giancarlo Ferrari-Trecate, Maryam Kamgarpour
Safe Zeroth-Order Optimization Using Quadratic Local Approximations. CoRR (2023)
Baiwei Guo, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari-Trecate
Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations. ECC (2023)
Tatiana Tatarenko, Maryam Kamgarpour
On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games. CoRR (2022)
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. CoRR (2022)
Baiwei Guo, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari-Trecate
Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations. CoRR (2022)
Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning. CoRR (2022)
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. ICML (2022)
Tony A. Wood, Maryam Kamgarpour
Multi-Agent Goal Assignment with Finite-Time Path Planning. CoRR (2022)
Heejin Ahn, Colin Chen, Ian M. Mitchell, Maryam Kamgarpour
Safe Motion Planning Against Multimodal Distributions Based on a Scenario Approach. IEEE Control. Syst. Lett. 6 (2022)
Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation. Autom. 140 (2022)
Orcun Karaca, Baiwei Guo, Maryam Kamgarpour
A comment on performance guarantees of a greedy algorithm for minimizing a supermodular set function on comatroid. Eur. J. Oper. Res. 290 (1) (2021)
Orcun Karaca, Stefanos Delikaraoglou, Maryam Kamgarpour
A market-based approach for enabling inter-area reserve exchange. Oper. Res. Lett. 49 (4) (2021)
Atousa Elahidoost, Luca Furieri, Maryam Kamgarpour, Elisabetta Tedeschi
Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids. IEEE Access 9 (2021)
Daniel Tihanyi, Yimeng Lu, Orcun Karaca, Maryam Kamgarpour
Multi-robot task allocation for safe planning under dynamic uncertainties. CoRR (2021)
Heejin Ahn, Colin Chen, Ian M. Mitchell, Maryam Kamgarpour
Safe Motion Planning against Multimodal Distributions based on a Scenario Approach. CoRR (2021)
Ilnura Usmanova, Maryam Kamgarpour, Andreas Krause, Kfir Y. Levy
Fast Projection Onto Convex Smooth Constraints. ICML (2021)
Vasileios Lefkopoulos, Maryam Kamgarpour
Trajectory Planning Under Environmental Uncertainty With Finite-Sample Safety Guarantees. CoRR (2021)
Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. ICML (2021)
Orcun Karaca, Daniel Tihanyi, Maryam Kamgarpour
Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid. Oper. Res. Lett. 49 (6) (2021)
Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour
Actuator Placement Under Structural Controllability Using Forward and Reverse Greedy Algorithms. IEEE Trans. Autom. Control. 66 (12) (2021)
Orcun Karaca, Stefanos Delikaraoglou, Maryam Kamgarpour
A market-based approach for enabling inter-area reserve exchange. CoRR (2021)
Yang Zheng, Luca Furieri, Antonis Papachristodoulou, Na Li, Maryam Kamgarpour
On the Equivalence of Youla, System-Level, and Input-Output Parameterizations. IEEE Trans. Autom. Control. 66 (1) (2021)
Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
Contextual Games: Multi-Agent Learning with Side Information. CoRR (2021)
Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. L4DC (2021)
Vasileios Lefkopoulos, Maryam Kamgarpour
Trajectory planning under environmental uncertainty with finite-sample safety guarantees. Autom. 131 (2021)
Baiwei Guo, Orcun Karaca, Sepide Azhdari, Maryam Kamgarpour, Giancarlo Ferrari-Trecate
Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness. CDC (2021)
Baiwei Guo, Orcun Karaca, Sepide Azhdari, Maryam Kamgarpour, Giancarlo Ferrari-Trecate
Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness. CoRR (2021)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
Learning to Play Sequential Games versus Unknown Opponents. NeurIPS (2020)
Luca Furieri, Yang Zheng, Maryam Kamgarpour
Learning the Globally Optimal Distributed LQ Regulator. L4DC (2020)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
Mixed Strategies for Robust Optimization of Unknown Objectives. AISTATS (2020)
Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
Sparsity Invariance for Convex Design of Distributed Controllers. IEEE Trans. Control. Netw. Syst. 7 (4) (2020)
Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
Contextual Games: Multi-Agent Learning with Side Information. NeurIPS (2020)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
Learning to Play Sequential Games versus Unknown Opponents. CoRR (2020)
Yimeng Lu, Maryam Kamgarpour
Safe Mission Planning under Dynamical Uncertainties. CoRR (2020)
Yang Zheng, Maryam Kamgarpour, Aivar Sootla, Antonis Papachristodoulou
Distributed Design for Decentralized Control Using Chordal Decomposition and ADMM. IEEE Trans. Control. Netw. Syst. 7 (2) (2020)
Yimeng Lu, Maryam Kamgarpour
Safe Mission Planning under Dynamical Uncertainties. ICRA (2020)
Luca Furieri, Maryam Kamgarpour
First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. ACC (2020)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
Mixed Strategies for Robust Optimization of Unknown Objectives. CoRR (2020)
Orcun Karaca, Maryam Kamgarpour
Core-Selecting Mechanisms in Electricity Markets. IEEE Trans. Smart Grid 11 (3) (2020)
Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour
Safe non-smooth black-box optimization with application to policy search. L4DC (2020)
Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. ECC (2019)
Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour
Privacy of Real-Time Pricing in Smart Grid. CoRR (2019)
Tatiana Tatarenko, Maryam Kamgarpour
Learning Generalized Nash Equilibria in a Class of Convex Games. IEEE Trans. Autom. Control. 64 (4) (2019)
Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour
Designing Coalition-Proof Reverse Auctions Over Continuous Goods. IEEE Trans. Autom. Control. 64 (11) (2019)
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. AISTATS (2019)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
No-Regret Learning in Unknown Games with Correlated Payoffs. NeurIPS (2019)
Luca Furieri, Maryam Kamgarpour
Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures. IEEE Trans. Autom. Control. 64 (12) (2019)
Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour
Actuator Placement for Optimizing Network Performance under Controllability Constraints. CDC (2019)
Luca Furieri, Yang Zheng, Maryam Kamgarpour
Learning the Globally Optimal Distributed LQ Regulator. CoRR (2019)
Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
An Input-Output Parametrization of Stabilizing Controllers: amidst Youla and System Level Synthesis. CoRR (2019)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
No-Regret Learning in Unknown Games with Correlated Payoffs. CoRR (2019)
Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. CoRR (2019)
Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour
Log Barriers for Safe Non-convex Black-box Optimization. CoRR (2019)
Tatiana Tatarenko, Maryam Kamgarpour
Learning Nash Equilibria in Monotone Games. CDC (2019)
Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour
Safe Convex Learning under Uncertain Constraints. AISTATS (2019)
Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour
Privacy of Real-Time Pricing in Smart Grid. CDC (2019)
Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour
Actuator Placement for Optimizing Network Performance under Controllability Constraints. CoRR (2019)
Tyler H. Summers, Maryam Kamgarpour
Performance guarantees for greedy maximization of non-submodular controllability metrics. ECC (2019)
Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
On the Parameterization of Stabilizing Controllers using Closed-loop Responses. CoRR (2019)
Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
Sparsity Invariance for Convex Design of Distributed Controllers. CoRR (2019)
Luca Furieri, Maryam Kamgarpour
First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. CoRR (2019)
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. CoRR (2019)
Vasileios Lefkopoulos, Maryam Kamgarpour
Using Uncertainty Data in Chance-Constrained Trajectory Planning. CoRR (2019)
Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour
Safe non-smooth black-box optimization with application to policy search. CoRR (2019)
Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
An Input-Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis. IEEE Control. Syst. Lett. 3 (4) (2019)
Dario Paccagnan, Basilio Gentile, Francesca Parise, Maryam Kamgarpour, John Lygeros
Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints. IEEE Trans. Autom. Control. 64 (4) (2019)
Damian Frick, Pier Giuseppe Sessa, Tony A. Wood, Maryam Kamgarpour
Exploiting structure of chance constrained programs via submodularity. Autom. 105 (2019)
Orcun Karaca, Pier Giuseppe Sessa, Anna Leidi, Maryam Kamgarpour
No-Regret Learning from Partially Observed Data in Repeated Auctions. CoRR (2019)
Felix Rey, Xiaojing Zhang, Sandro Merkli, Valentina Agliati, Maryam Kamgarpour, John Lygeros
Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM. IEEE Trans. Smart Grid 10 (4) (2019)
Tatiana Tatarenko, Maryam Kamgarpour
Learning Nash Equilibria in Monotone Games. CoRR (2019)
Vasileios Lefkopoulos, Maryam Kamgarpour
Using Uncertainty Data in Chance-Constrained Trajectory Planning. ECC (2019)
Luca Furieri, Maryam Kamgarpour
Robust Distributed Control Beyond Quadratic Invariance. CDC (2018)
Orcun Karaca, Maryam Kamgarpour
Exploiting Weak Supermodularity for Coalition-Proof Mechanisms. CoRR (2018)
Tatiana Tatarenko, Maryam Kamgarpour
Minimizing Regret in Bandit Online Optimization in Unconstrained and Constrained Action Spaces. CoRR (2018)
Luca Furieri, Maryam Kamgarpour
Lowering the Upper Bounds on the Cost of Robust Distributed Controllers Beyond Quadratic Invariance. CoRR (2018)
Bart De Moor, Yasamin Mostofi, Maryam Kamgarpour, Zdenko Kovacic, Maja Cepanec, Airlie Chapman, Mehran Mesbahi
Plenary Lectures. MED (2018)
Pier Giuseppe Sessa, Damian Frick, Tony A. Wood, Maryam Kamgarpour
From Uncertainty Data to Robust Policies for Temporal Logic Planning. HSCC (2018)
Orcun Karaca, Maryam Kamgarpour
Core-Selecting Mechanisms in Electricity Markets. CoRR (2018)
Tatiana Tatarenko, Maryam Kamgarpour
Minimizing Regret in Unconstrained Online Convex Optimization. ECC (2018)
Yang Zheng, Maryam Kamgarpour, Aivar Sootla, Antonis Papachristodoulou
Scalable analysis of linear networked systems via chordal decomposition. ECC (2018)
Orcun Karaca, Maryam Kamgarpour
Exploiting Weak Supermodularity for Coalition-Proof Mechanisms. CDC (2018)
Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, Paul Goulart, John Lygeros
Robust optimal control with adjustable uncertainty sets. Autom. 75 (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Maryam Kamgarpour