Maryam Kamgarpour

179 papers A* 10A 5C 5Journal 110Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Constrained Meta Reinforcement Learning with Provable Test-Time Safety. CoRR Tingting Ni, Maryam Kamgarpour
2026	A*	`conf`	Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions. AAAI Reda Ouhamma, Maryam Kamgarpour
2026	J	`jnl`	On linear quadratic potential games. Autom. Sara Hosseinirad, Giulio Salizzoni, Alireza Alian Porzani, Maryam Kamgarpour
2026	J	`jnl`	Uncertainty and Autarky: Cooperative Game Theory for Stable Local Energy Market Partitioning. CoRR Saurabh Vaishampayan, Maryam Kamgarpour
2025	A	`conf`	A Safe Exploration Approach to Constrained Markov Decision Processes. AISTATS Tingting Ni, Maryam Kamgarpour
2025	—	`conf`	A learning-based approach to stochastic optimal control under reach-avoid constraint. HSCC Tingting Ni, Maryam Kamgarpour
2025	J	`jnl`	Bridging Finite and Infinite-Horizon Nash Equilibria in Linear Quadratic Games. CoRR Giulio Salizzoni, Sophie Hall, Maryam Kamgarpour
2025	J	`jnl`	Chance-Constrained Linear Quadratic Gaussian Games for Multi-Robot Interaction Under Uncertainty. IEEE Control. Syst. Lett. Kai Ren, Giulio Salizzoni, Mustafa Emre Gürsoy, Maryam Kamgarpour
2025	J	`jnl`	Chance-Constrained Trajectory Planning with Multimodal Environmental Uncertainty. CoRR Kai Ren, Heejin Ahn, Maryam Kamgarpour
2025	J	`jnl`	Chance-constrained Linear Quadratic Gaussian Games for Multi-robot Interaction under Uncertainty. CoRR Kai Ren, Giulio Salizzoni, Mustafa Emre Gürsoy, Maryam Kamgarpour
2025	J	`jnl`	Convergence rate of payoff-based generalized Nash equilibrium learning. Eur. J. Control Tatiana Tatarenko, Maryam Kamgarpour
2025	J	`jnl`	Convergence rate of payoff-based generalized Nash equilibrium learning. Eur. J. Control Tatiana Tatarenko, Maryam Kamgarpour
2025	J	`jnl`	Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental Design. CoRR Andreas Schlaginhaufen, Reda Ouhamma, Maryam Kamgarpour
2025	J	`jnl`	Eliciting Truthful Feedback for Preference-Based Learning via the VCG Mechanism. CoRR Leo Landolt, Anna M. Maddux, Andreas Schlaginhaufen, Saurabh Vaishampayan, Maryam Kamgarpour
2025	J	`jnl`	Identifying Time-varying Costs in Finite-horizon Linear Quadratic Gaussian Games. CoRR Kai Ren, Maryam Kamgarpour
2025	J	`jnl`	Learning to Assemble with Alternative Plans. ACM Trans. Graph. Ziqi Wang, Wenjun Liu, Jingwen Wang, Gabriel Vallat, Fan Shi, Stefana Parascho, Maryam Kamgarpour
2025	J	`jnl`	Nash Equilibria in Games with Playerwise Concave Coupling Constraints: Existence and Computation. CoRR Philip Jordan, Maryam Kamgarpour
2025	—	`conf`	Nash equilibria in scalar discrete-time linear quadratic games. ECC Giulio Salizzoni, Reda Ouhamma, Maryam Kamgarpour
2025	—	`conf`	No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing. CDC Anna M. Maddux, Marko Maljkovic, Nikolas Geroliminis, Maryam Kamgarpour
2025	J	`jnl`	No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing. CoRR Anna M. Maddux, Marko Maljkovic, Nikolas Geroliminis, Maryam Kamgarpour
2025	J	`jnl`	On characterization and existence of a constrained correlated equilibria in Markov games. CoRR Tingting Ni, Anna M. Maddux, Maryam Kamgarpour
2025	J	`jnl`	On the Convergence of Gradient Descent in Scalar Two-Agent Infinite-Horizon LQ Games. IEEE Control. Syst. Lett. Giulio Salizzoni, Maryam Kamgarpour
2025	J	`jnl`	Recursively Feasible Chance-Constrained Model Predictive Control Under Gaussian Mixture Model Uncertainty. IEEE Trans. Control. Syst. Technol. Kai Ren, Colin Chen, Hyeontae Sung, Heejin Ahn, Ian M. Mitchell, Maryam Kamgarpour
2025	J	`jnl`	Safe zeroth-order optimization using quadratic local approximations. Autom. Baiwei Guo, Yuning Jiang, Giancarlo Ferrari-Trecate, Maryam Kamgarpour
2025	J	`jnl`	Scheduling the Charge of Temporally Flexible Electric Vehicles: a Market-based Approach. CoRR Sabri El Amrani, Thibaut Horel, Saurabh Vaishampayan, Maryam Kamgarpour, Munther A. Dahleh
2025	J	`jnl`	Selling Information in Games with Externalities. CoRR Thomas Falconer, Anubhav Ratha, Jalal Kazempour, Pierre Pinson, Maryam Kamgarpour
2024	—	`conf`	A Policy Iteration Algorithm for N-player General-Sum Linear Quadratic Dynamic Games. CDC Yuxiang Guan, Giulio Salizzoni, Maryam Kamgarpour, Tyler H. Summers
2024	J	`jnl`	A Policy Iteration Algorithm for N-player General-Sum Linear Quadratic Dynamic Games. CoRR Yuxiang Guan, Giulio Salizzoni, Maryam Kamgarpour, Tyler H. Summers
2024	J	`jnl`	A learning-based approach to stochastic optimal control under reach-avoid constraint. CoRR Tingting Ni, Maryam Kamgarpour
2024	—	`conf`	Convergence Rate of Learning a Strongly Variationally Stable Equilibrium. ECC Tatiana Tatarenko, Maryam Kamgarpour
2024	—	`conf`	Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm. CDC Titouan Renard, Andreas Schlaginhaufen, Tingting Ni, Maryam Kamgarpour
2024	J	`jnl`	Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm. CoRR Titouan Renard, Andreas Schlaginhaufen, Tingting Ni, Maryam Kamgarpour
2024	J	`jnl`	Finite-time convergence to an ε-efficient Nash equilibrium in potential games. CoRR Anna M. Maddux, Reda Ouhamma, Maryam Kamgarpour
2024	J	`jnl`	Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm. CoRR Arega Getaneh Abate, Dorsa Majdi, Jalal Kazempour, Maryam Kamgarpour
2024	J	`jnl`	Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning. J. Mach. Learn. Res. Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause
2024	A	`conf`	Multi-Agent Learning in Contextual Games under Unknown Constraints. AISTATS Anna M. Maddux, Maryam Kamgarpour
2024	J	`jnl`	Nash equilibria in scalar discrete-time linear quadratic games. CoRR Giulio Salizzoni, Reda Ouhamma, Maryam Kamgarpour
2024	J	`jnl`	Payoff-Based Learning of Nash Equilibria in Merely Monotone Games. IEEE Trans. Control. Netw. Syst. Tatiana Tatarenko, Maryam Kamgarpour
2024	J	`jnl`	Safe Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty. CoRR Kai Ren, Colin Chen, Hyeontae Sung, Heejin Ahn, Ian M. Mitchell, Maryam Kamgarpour
2024	A*	`conf`	Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning. NeurIPS Andreas Schlaginhaufen, Maryam Kamgarpour
2024	J	`jnl`	Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning. CoRR Andreas Schlaginhaufen, Maryam Kamgarpour
2023	J	`jnl`	Certification of Bottleneck Task Assignment With Shortest Path Criteria. IEEE Robotics Autom. Lett. Tony A. Wood, Maryam Kamgarpour
2023	J	`jnl`	Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty. IEEE Control. Syst. Lett. Kai Ren, Heejin Ahn, Maryam Kamgarpour
2023	A*	`conf`	Identifiability and Generalizability in Constrained Inverse Reinforcement Learning. ICML Andreas Schlaginhaufen, Maryam Kamgarpour
2023	J	`jnl`	Identifiability and Generalizability in Constrained Inverse Reinforcement Learning. CoRR Andreas Schlaginhaufen, Maryam Kamgarpour
2023	J	`jnl`	Interior Point Constrained Reinforcement Learning with Global Convergence Guarantees. CoRR Tingting Ni, Maryam Kamgarpour
2023	J	`jnl`	Learning Nash Equilibria in Zero-Sum Markov Games: A Single Time-scale Algorithm Under Weak Reachability. CoRR Reda Ouhamma, Maryam Kamgarpour
2023	J	`jnl`	Multi-Agent Learning in Contextual Games under Unknown Constraints. CoRR Anna M. Maddux, Maryam Kamgarpour
2023	—	`conf`	Multi-robot task allocation for safe planning against stochastic hazard dynamics. ECC Daniel Tihanyi, Yimeng Lu, Orcun Karaca, Maryam Kamgarpour
2023	—	`conf`	Reinforcement learning for scaffold-free construction of spanning structures. SCF Gabriel Vallat, Jingwen Wang, Anna M. Maddux, Maryam Kamgarpour, Stefana Parascho
2023	—	`conf`	Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations. ECC Baiwei Guo, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari-Trecate
2023	—	`conf`	Safe Zeroth-Order Optimization Using Linear Programs. CDC Baiwei Guo, Yang Wang, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari-Trecate
2023	J	`jnl`	Safe Zeroth-Order Optimization Using Linear Programs. CoRR Baiwei Guo, Yang Wang, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari-Trecate
2023	J	`jnl`	Safe Zeroth-Order Optimization Using Quadratic Local Approximations. CoRR Baiwei Guo, Yuning Jiang, Giancarlo Ferrari-Trecate, Maryam Kamgarpour
2022	A*	`conf`	Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. ICML Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
2022	J	`jnl`	Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. CoRR Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
2022	J	`jnl`	Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning. CoRR Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause
2022	J	`jnl`	Multi-Agent Goal Assignment with Finite-Time Path Planning. CoRR Tony A. Wood, Maryam Kamgarpour
2022	J	`jnl`	On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games. CoRR Tatiana Tatarenko, Maryam Kamgarpour
2022	J	`jnl`	Safe Motion Planning Against Multimodal Distributions Based on a Scenario Approach. IEEE Control. Syst. Lett. Heejin Ahn, Colin Chen, Ian M. Mitchell, Maryam Kamgarpour
2022	J	`jnl`	Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations. CoRR Baiwei Guo, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari-Trecate
2022	J	`jnl`	System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation. Autom. Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
2021	J	`jnl`	A comment on performance guarantees of a greedy algorithm for minimizing a supermodular set function on comatroid. Eur. J. Oper. Res. Orcun Karaca, Baiwei Guo, Maryam Kamgarpour
2021	J	`jnl`	A market-based approach for enabling inter-area reserve exchange. CoRR Orcun Karaca, Stefanos Delikaraoglou, Maryam Kamgarpour
2021	J	`jnl`	A market-based approach for enabling inter-area reserve exchange. Oper. Res. Lett. Orcun Karaca, Stefanos Delikaraoglou, Maryam Kamgarpour
2021	J	`jnl`	Actuator Placement Under Structural Controllability Using Forward and Reverse Greedy Algorithms. IEEE Trans. Autom. Control. Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour
2021	—	`conf`	Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness. CDC Baiwei Guo, Orcun Karaca, Sepide Azhdari, Maryam Kamgarpour, Giancarlo Ferrari-Trecate
2021	J	`jnl`	Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness. CoRR Baiwei Guo, Orcun Karaca, Sepide Azhdari, Maryam Kamgarpour, Giancarlo Ferrari-Trecate
2021	J	`jnl`	Contextual Games: Multi-Agent Learning with Side Information. CoRR Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
2021	A*	`conf`	Fast Projection Onto Convex Smooth Constraints. ICML Ilnura Usmanova, Maryam Kamgarpour, Andreas Krause, Kfir Y. Levy
2021	J	`jnl`	Multi-robot task allocation for safe planning under dynamic uncertainties. CoRR Daniel Tihanyi, Yimeng Lu, Orcun Karaca, Maryam Kamgarpour
2021	J	`jnl`	On the Equivalence of Youla, System-Level, and Input-Output Parameterizations. IEEE Trans. Autom. Control. Yang Zheng, Luca Furieri, Antonis Papachristodoulou, Na Li, Maryam Kamgarpour
2021	A*	`conf`	Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. ICML Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
2021	J	`jnl`	Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids. IEEE Access Atousa Elahidoost, Luca Furieri, Maryam Kamgarpour, Elisabetta Tedeschi
2021	J	`jnl`	Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid. Oper. Res. Lett. Orcun Karaca, Daniel Tihanyi, Maryam Kamgarpour
2021	J	`jnl`	Safe Motion Planning against Multimodal Distributions based on a Scenario Approach. CoRR Heejin Ahn, Colin Chen, Ian M. Mitchell, Maryam Kamgarpour
2021	—	`conf`	Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. L4DC Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
2021	J	`jnl`	Trajectory Planning Under Environmental Uncertainty With Finite-Sample Safety Guarantees. CoRR Vasileios Lefkopoulos, Maryam Kamgarpour
2021	J	`jnl`	Trajectory planning under environmental uncertainty with finite-sample safety guarantees. Autom. Vasileios Lefkopoulos, Maryam Kamgarpour
2020	A*	`conf`	Contextual Games: Multi-Agent Learning with Side Information. NeurIPS Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
2020	J	`jnl`	Core-Selecting Mechanisms in Electricity Markets. IEEE Trans. Smart Grid Orcun Karaca, Maryam Kamgarpour
2020	J	`jnl`	Distributed Design for Decentralized Control Using Chordal Decomposition and ADMM. IEEE Trans. Control. Netw. Syst. Yang Zheng, Maryam Kamgarpour, Aivar Sootla, Antonis Papachristodoulou
2020	C	`conf`	First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. ACC Luca Furieri, Maryam Kamgarpour
2020	—	`conf`	Learning the Globally Optimal Distributed LQ Regulator. L4DC Luca Furieri, Yang Zheng, Maryam Kamgarpour
2020	A*	`conf`	Learning to Play Sequential Games versus Unknown Opponents. NeurIPS Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
2020	J	`jnl`	Learning to Play Sequential Games versus Unknown Opponents. CoRR Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
2020	A	`conf`	Mixed Strategies for Robust Optimization of Unknown Objectives. AISTATS Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
2020	J	`jnl`	Mixed Strategies for Robust Optimization of Unknown Objectives. CoRR Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
2020	A*	`conf`	Safe Mission Planning under Dynamical Uncertainties. ICRA Yimeng Lu, Maryam Kamgarpour
2020	J	`jnl`	Safe Mission Planning under Dynamical Uncertainties. CoRR Yimeng Lu, Maryam Kamgarpour
2020	—	`conf`	Safe non-smooth black-box optimization with application to policy search. L4DC Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour
2020	J	`jnl`	Sparsity Invariance for Convex Design of Distributed Controllers. IEEE Trans. Control. Netw. Syst. Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
2019	—	`conf`	Actuator Placement for Optimizing Network Performance under Controllability Constraints. CDC Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour
2019	J	`jnl`	Actuator Placement for Optimizing Network Performance under Controllability Constraints. CoRR Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour
2019	J	`jnl`	An Input-Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis. IEEE Control. Syst. Lett. Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
2019	J	`jnl`	An Input-Output Parametrization of Stabilizing Controllers: amidst Youla and System Level Synthesis. CoRR Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
2019	A	`conf`	Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. AISTATS Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
2019	J	`jnl`	Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. CoRR Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
2019	J	`jnl`	Designing Coalition-Proof Reverse Auctions Over Continuous Goods. IEEE Trans. Autom. Control. Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour
2019	J	`jnl`	Exploiting structure of chance constrained programs via submodularity. Autom. Damian Frick, Pier Giuseppe Sessa, Tony A. Wood, Maryam Kamgarpour
2019	J	`jnl`	First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. CoRR Luca Furieri, Maryam Kamgarpour
2019	J	`jnl`	Learning Generalized Nash Equilibria in a Class of Convex Games. IEEE Trans. Autom. Control. Tatiana Tatarenko, Maryam Kamgarpour
2019	—	`conf`	Learning Nash Equilibria in Monotone Games. CDC Tatiana Tatarenko, Maryam Kamgarpour
2019	J	`jnl`	Learning Nash Equilibria in Monotone Games. CoRR Tatiana Tatarenko, Maryam Kamgarpour
2019	J	`jnl`	Learning the Globally Optimal Distributed LQ Regulator. CoRR Luca Furieri, Yang Zheng, Maryam Kamgarpour
2019	J	`jnl`	Log Barriers for Safe Non-convex Black-box Optimization. CoRR Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour
2019	J	`jnl`	Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints. IEEE Trans. Autom. Control. Dario Paccagnan, Basilio Gentile, Francesca Parise, Maryam Kamgarpour, John Lygeros
2019	J	`jnl`	No-Regret Learning from Partially Observed Data in Repeated Auctions. CoRR Orcun Karaca, Pier Giuseppe Sessa, Anna Leidi, Maryam Kamgarpour
2019	A*	`conf`	No-Regret Learning in Unknown Games with Correlated Payoffs. NeurIPS Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
2019	J	`jnl`	No-Regret Learning in Unknown Games with Correlated Payoffs. CoRR Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
2019	—	`conf`	On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. ECC Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
2019	J	`jnl`	On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. CoRR Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
2019	J	`jnl`	On the Parameterization of Stabilizing Controllers using Closed-loop Responses. CoRR Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
2019	—	`conf`	Performance guarantees for greedy maximization of non-submodular controllability metrics. ECC Tyler H. Summers, Maryam Kamgarpour
2019	—	`conf`	Privacy of Real-Time Pricing in Smart Grid. CDC Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour
2019	J	`jnl`	Privacy of Real-Time Pricing in Smart Grid. CoRR Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour
2019	A	`conf`	Safe Convex Learning under Uncertain Constraints. AISTATS Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour
2019	J	`jnl`	Safe non-smooth black-box optimization with application to policy search. CoRR Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour
2019	J	`jnl`	Sparsity Invariance for Convex Design of Distributed Controllers. CoRR Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
2019	J	`jnl`	Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM. IEEE Trans. Smart Grid Felix Rey, Xiaojing Zhang, Sandro Merkli, Valentina Agliati, Maryam Kamgarpour, John Lygeros
2019	J	`jnl`	Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures. IEEE Trans. Autom. Control. Luca Furieri, Maryam Kamgarpour
2019	—	`conf`	Using Uncertainty Data in Chance-Constrained Trajectory Planning. ECC Vasileios Lefkopoulos, Maryam Kamgarpour
2019	J	`jnl`	Using Uncertainty Data in Chance-Constrained Trajectory Planning. CoRR Vasileios Lefkopoulos, Maryam Kamgarpour
2018	J	`jnl`	Core-Selecting Mechanisms in Electricity Markets. CoRR Orcun Karaca, Maryam Kamgarpour
2018	—	`conf`	Exploiting Weak Supermodularity for Coalition-Proof Mechanisms. CDC Orcun Karaca, Maryam Kamgarpour
2018	J	`jnl`	Exploiting Weak Supermodularity for Coalition-Proof Mechanisms. CoRR Orcun Karaca, Maryam Kamgarpour
2018	—	`conf`	From Uncertainty Data to Robust Policies for Temporal Logic Planning. HSCC Pier Giuseppe Sessa, Damian Frick, Tony A. Wood, Maryam Kamgarpour
2018	J	`jnl`	Lowering the Upper Bounds on the Cost of Robust Distributed Controllers Beyond Quadratic Invariance. CoRR Luca Furieri, Maryam Kamgarpour
2018	J	`jnl`	Minimizing Regret in Bandit Online Optimization in Unconstrained and Constrained Action Spaces. CoRR Tatiana Tatarenko, Maryam Kamgarpour
2018	—	`conf`	Minimizing Regret in Unconstrained Online Convex Optimization. ECC Tatiana Tatarenko, Maryam Kamgarpour
2018	—	`conf`	Plenary Lectures. MED Bart De Moor, Yasamin Mostofi, Maryam Kamgarpour, Zdenko Kovacic, Maja Cepanec, Airlie Chapman, Mehran Mesbahi
2018	—	`conf`	Robust Distributed Control Beyond Quadratic Invariance. CDC Luca Furieri, Maryam Kamgarpour
2018	—	`conf`	Scalable analysis of linear networked systems via chordal decomposition. ECC Yang Zheng, Maryam Kamgarpour, Aivar Sootla, Antonis Papachristodoulou
2017	J	`jnl`	Control synthesis for stochastic systems given automata specifications defined by stochastic sets. Autom. Maryam Kamgarpour, Tony A. Wood, Sean Summers, John Lygeros
2017	J	`jnl`	Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems. CoRR Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour
2017	—	`conf`	Game theoretic analysis of electricity market auction mechanisms. CDC Orcun Karaca, Maryam Kamgarpour
2017	J	`jnl`	Information Structure Design in Team Decision Problems. CoRR Tyler H. Summers, Changyuan Li, Maryam Kamgarpour
2017	J	`jnl`	Nash and Wardrop equilibria in aggregative games with coupling constraints. CoRR Basilio Gentile, Francesca Parise, Dario Paccagnan, Maryam Kamgarpour, John Lygeros
2017	J	`jnl`	Performance guarantees for greedy maximization of non-submodular set functions in systems and control. CoRR Tyler H. Summers, Maryam Kamgarpour
2017	J	`jnl`	Robust Control Policies Given Formal Specifications in Uncertain Environments. IEEE Control. Syst. Lett. Damian Frick, Tony A. Wood, Gian Ulli, Maryam Kamgarpour
2017	—	`conf`	Robust control of constrained systems given an information structure. CDC Luca Furieri, Maryam Kamgarpour
2017	J	`jnl`	Robust optimal control with adjustable uncertainty sets. Autom. Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, Paul Goulart, John Lygeros
2017	J	`jnl`	The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes. J. Artif. Intell. Res. Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros
2017	J	`jnl`	The Value of Communication in Synthesizing Controllers given an Information Structure. CoRR Luca Furieri, Maryam Kamgarpour
2016	J	`jnl`	A Hybrid Optimal Control Approach to Fuel-Efficient Aircraft Conflict Avoidance. IEEE Trans. Intell. Transp. Syst. Manuel Soler, Maryam Kamgarpour, Javier Lloret, John Lygeros
2016	—	`conf`	A Semidefinite Programming Approach to Control Synthesis for Stochastic Reach-Avoid Problems. ARCH@CPSWeek Dalibor Drzajic, Nikolaos Kariotoglou, Maryam Kamgarpour, John Lygeros
2016	C	`conf`	Automaton-based stochastic control for navigation of emergency rescuers in buildings. CCA Tony A. Wood, Maryam Kamgarpour
2016	—	`conf`	Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints. CDC Dario Paccagnan, Basilio Gentile, Francesca Parise, Maryam Kamgarpour, John Lygeros
2016	J	`jnl`	Exploring Vickrey-Clarke-Groves Mechanism for Electricity Markets. CoRR Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour
2016	—	`conf`	On aggregative and mean field games with applications to electricity markets. ECC Dario Paccagnan, Maryam Kamgarpour, John Lygeros
2015	—	`conf`	On the range of feasible power trajectories for a population of thermostatically controlled loads. CDC Dario Paccagnan, Maryam Kamgarpour, John Lygeros
2015	J	`jnl`	Robust Optimal Control with Adjustable Uncertainty Sets. CoRR Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, John Lygeros
2015	—	`conf`	Stochastic frequency reserve provision by chance-constrained control of commercial buildings. ECC X. Zhang, Evangelos Vrettos, Maryam Kamgarpour, Göran Andersson, John Lygeros
2015	J	`jnl`	Upper bounds for the reach-avoid probability via robust optimization. CoRR Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros
2014	J	`jnl`	A numerical approach to stochastic reach-avoid problems for Markov Decision Processes. CoRR Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros
2014	—	`conf`	Model based power optimisation of wind farms. ECC Flavio Heer, Peyman Mohajerin Esfahani, Maryam Kamgarpour, John Lygeros
2014	—	`conf`	Selling robustness margins: A framework for optimizing reserve capacities for linear systems. CDC Xiaojing Zhang, Maryam Kamgarpour, Paul Goulart, John Lygeros
2013	—	`conf`	A Bayesian mean field game approach to supply demand analysis of the smart grid. BlackSeaCom Maryam Kamgarpour, Hamidou Tembine
2013	C	`conf`	A robust fault detection and isolation filter for a horizontal axis variable speed wind turbine. ACC Bratislav Svetozarevic, Peyman Mohajerin Esfahani, Maryam Kamgarpour, John Lygeros
2013	J	`jnl`	A stochastic games framework for verification and control of discrete time stochastic hybrid systems. Autom. Jerry Ding, Maryam Kamgarpour, Sean Summers, Alessandro Abate, John Lygeros, Claire J. Tomlin
2013	—	`conf`	Approximate dynamic programming for stochastic reachability. ECC Nikolaos Kariotoglou, Sean Summers, Tyler H. Summers, Maryam Kamgarpour, John Lygeros
2013	—	`conf`	Approximate dynamic programming via sum of squares programming. ECC Tyler H. Summers, Konstantin Kunz, Nikolaos Kariotoglou, Maryam Kamgarpour, Sean Summers, John Lygeros
2013	—	`conf`	Control design for specifications on stochastic hybrid systems. HSCC Maryam Kamgarpour, Sean Summers, John Lygeros
2013	—	`conf`	Energy arbitrage with thermostatically controlled loads. ECC Johanna L. Mathieu, Maryam Kamgarpour, John Lygeros, Duncan S. Callaway
2013	—	`conf`	Optimal load management system for Aircraft Electric Power distribution. CDC Mehdi Maasoumy, Pierluigi Nuzzo, Forrest N. Iandola, Maryam Kamgarpour, Alberto L. Sangiovanni-Vincentelli, Claire J. Tomlin
2013	J	`jnl`	Stochastic system controller synthesis for reachability specifications encoded by random sets. Autom. Sean Summers, Maryam Kamgarpour, Claire J. Tomlin, John Lygeros
2012	J	`jnl`	A Hierarchical Flight Planning Framework for Air Traffic Management. Proc. IEEE Wei Zhang, Maryam Kamgarpour, Dengfeng Sun, Claire J. Tomlin
2012	J	`jnl`	Approximate Dynamic Programming via Sum of Squares Programming CoRR Tyler H. Summers, Konstantin Kunz, Nikolaos Kariotoglou, Maryam Kamgarpour, Sean Summers, John Lygeros
2012	—	`conf`	Multiphase mixed-integer optimal control framework for aircraft conflict avoidance. CDC Manuel Soler, Maryam Kamgarpour, Claire J. Tomlin, Ernesto Staffetti
2012	J	`jnl`	On optimal control of non-autonomous switched systems with a fixed mode sequence. Autom. Maryam Kamgarpour, Claire J. Tomlin
2011	—	`conf`	A stochastic reach-avoid problem with random obstacles. HSCC Sean Summers, Maryam Kamgarpour, John Lygeros, Claire J. Tomlin
2011	C	`conf`	Decentralized flight path planning for air traffic management. ACC Wei Zhang, Maryam Kamgarpour, Dengfeng Sun, Claire J. Tomlin
2011	—	`conf`	Discrete time stochastic hybrid dynamical games: Verification & controller synthesis. CDC/ECC Maryam Kamgarpour, Jerry Ding, Sean Summers, Alessandro Abate, John Lygeros, Claire J. Tomlin
2010	—	`conf`	A descent algorithm for the optimal control of constrained nonlinear switched dynamical systems. HSCC Humberto González, Ramanarayan Vasudevan, Maryam Kamgarpour, S. Shankar Sastry, Ruzena Bajcsy, Claire J. Tomlin
2010	—	`conf`	A numerical method for the optimal control of switched systems. CDC Humberto González, Ramanarayan Vasudevan, Maryam Kamgarpour, S. Shankar Sastry, Ruzena Bajcsy, Claire J. Tomlin
2010	C	`conf`	Modeling and analysis of cell differentiation using hybrid systems. ACC Maryam Kamgarpour, Claire J. Tomlin
2010	—	`conf`	Trajectory generation for aircraft subject to dynamic weather uncertainty. CDC Maryam Kamgarpour, Vera M. Dadok, Claire J. Tomlin
2008	—	`conf`	Convergence properties of a decentralized Kalman filter. CDC Maryam Kamgarpour, Claire J. Tomlin
2008	—	`conf`	Tracking controllers for small UAVs with wind disturbances: Theory and flight results. CDC Stephen Jackson, John Tisdale, Maryam Kamgarpour, Brandon Basso, J. Karl Hedrick