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Maryam Kamgarpour
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2020 – today
- 2024
- [j31]Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause:
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning. J. Mach. Learn. Res. 25: 171:1-171:54 (2024) - [c61]Anna M. Maddux, Maryam Kamgarpour:
Multi-Agent Learning in Contextual Games under Unknown Constraints. AISTATS 2024: 3142-3150 - [c60]Tatiana Tatarenko, Maryam Kamgarpour:
Convergence Rate of Learning a Strongly Variationally Stable Equilibrium. ECC 2024: 768-773 - [i54]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 abs/2401.03799 (2024) - [i53]Titouan Renard, Andreas Schlaginhaufen, Tingting Ni, Maryam Kamgarpour:
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm. CoRR abs/2403.16829 (2024) - [i52]Arega Getaneh Abate, Dorsa Majdi, Jalal Kazempour, Maryam Kamgarpour:
Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm. CoRR abs/2404.03314 (2024) - [i51]Anna M. Maddux, Reda Ouhamma, Maryam Kamgarpour:
Finite-time convergence to an ε-efficient Nash equilibrium in potential games. CoRR abs/2405.15497 (2024) - [i50]Andreas Schlaginhaufen, Maryam Kamgarpour:
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning. CoRR abs/2406.01793 (2024) - 2023
- [j30]Kai Ren, Heejin Ahn, Maryam Kamgarpour:
Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty. IEEE Control. Syst. Lett. 7: 13-18 (2023) - [j29]Tony A. Wood, Maryam Kamgarpour:
Certification of Bottleneck Task Assignment With Shortest Path Criteria. IEEE Robotics Autom. Lett. 8(8): 4545-4552 (2023) - [c59]Baiwei Guo, Yang Wang, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari-Trecate:
Safe Zeroth-Order Optimization Using Linear Programs. CDC 2023: 556-561 - [c58]Baiwei Guo, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari-Trecate:
Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations. ECC 2023: 1-8 - [c57]Daniel Tihanyi, Yimeng Lu, Orcun Karaca, Maryam Kamgarpour:
Multi-robot task allocation for safe planning against stochastic hazard dynamics. ECC 2023: 1-6 - [c56]Andreas Schlaginhaufen, Maryam Kamgarpour:
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning. ICML 2023: 30224-30251 - [c55]Gabriel Vallat, Jingwen Wang, Anna M. Maddux, Maryam Kamgarpour, Stefana Parascho:
Reinforcement learning for scaffold-free construction of spanning structures. SCF 2023: 12:1-12:12 - [i49]Baiwei Guo, Yuning Jiang, Giancarlo Ferrari-Trecate, Maryam Kamgarpour:
Safe Zeroth-Order Optimization Using Quadratic Local Approximations. CoRR abs/2303.16659 (2023) - [i48]Baiwei Guo, Yang Wang, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari-Trecate:
Safe Zeroth-Order Optimization Using Linear Programs. CoRR abs/2304.01797 (2023) - [i47]Andreas Schlaginhaufen, Maryam Kamgarpour:
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning. CoRR abs/2306.00629 (2023) - [i46]Anna M. Maddux, Maryam Kamgarpour:
Multi-Agent Learning in Contextual Games under Unknown Constraints. CoRR abs/2310.14685 (2023) - [i45]Tingting Ni, Maryam Kamgarpour:
Interior Point Constrained Reinforcement Learning with Global Convergence Guarantees. CoRR abs/2312.00561 (2023) - [i44]Reda Ouhamma, Maryam Kamgarpour:
Learning Nash Equilibria in Zero-Sum Markov Games: A Single Time-scale Algorithm Under Weak Reachability. CoRR abs/2312.08008 (2023) - 2022
- [j28]Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li:
System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation. Autom. 140: 110211 (2022) - [j27]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: 1142-1147 (2022) - [c54]Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. ICML 2022: 19580-19597 - [i43]Tatiana Tatarenko, Maryam Kamgarpour:
On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games. CoRR abs/2202.11147 (2022) - [i42]Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. CoRR abs/2203.07322 (2022) - [i41]Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause:
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning. CoRR abs/2207.10415 (2022) - [i40]Baiwei Guo, Yuning Jiang, Maryam Kamgarpour, Giancarlo Ferrari-Trecate:
Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations. CoRR abs/2211.02645 (2022) - [i39]Tony A. Wood, Maryam Kamgarpour:
Multi-Agent Goal Assignment with Finite-Time Path Planning. CoRR abs/2212.12724 (2022) - 2021
- [j26]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: 98731-98745 (2021) - [j25]Vasileios Lefkopoulos, Maryam Kamgarpour:
Trajectory planning under environmental uncertainty with finite-sample safety guarantees. Autom. 131: 109754 (2021) - [j24]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): 401-403 (2021) - [j23]Orcun Karaca, Stefanos Delikaraoglou, Maryam Kamgarpour:
A market-based approach for enabling inter-area reserve exchange. Oper. Res. Lett. 49(4): 501-506 (2021) - [j22]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): 855-861 (2021) - [j21]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): 413-420 (2021) - [j20]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): 5845-5860 (2021) - [c53]Baiwei Guo, Orcun Karaca, Sepide Azhdari, Maryam Kamgarpour, Giancarlo Ferrari-Trecate:
Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness. CDC 2021: 5294-5299 - [c52]Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. ICML 2021: 9455-9464 - [c51]Ilnura Usmanova, Maryam Kamgarpour, Andreas Krause, Kfir Y. Levy:
Fast Projection Onto Convex Smooth Constraints. ICML 2021: 10476-10486 - [c50]Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li:
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. L4DC 2021: 559-570 - [i38]Orcun Karaca, Stefanos Delikaraoglou, Maryam Kamgarpour:
A market-based approach for enabling inter-area reserve exchange. CoRR abs/2102.08690 (2021) - [i37]Daniel Tihanyi, Yimeng Lu, Orcun Karaca, Maryam Kamgarpour:
Multi-robot task allocation for safe planning under dynamic uncertainties. CoRR abs/2103.01840 (2021) - [i36]Baiwei Guo, Orcun Karaca, Sepide Azhdari, Maryam Kamgarpour, Giancarlo Ferrari-Trecate:
Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness. CoRR abs/2104.01850 (2021) - [i35]Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Contextual Games: Multi-Agent Learning with Side Information. CoRR abs/2107.06327 (2021) - [i34]Heejin Ahn, Colin Chen, Ian M. Mitchell, Maryam Kamgarpour:
Safe Motion Planning against Multimodal Distributions based on a Scenario Approach. CoRR abs/2108.02753 (2021) - [i33]Vasileios Lefkopoulos, Maryam Kamgarpour:
Trajectory Planning Under Environmental Uncertainty With Finite-Sample Safety Guarantees. CoRR abs/2108.06250 (2021) - 2020
- [j19]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): 614-626 (2020) - [j18]Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
Sparsity Invariance for Convex Design of Distributed Controllers. IEEE Trans. Control. Netw. Syst. 7(4): 1836-1847 (2020) - [j17]Orcun Karaca, Maryam Kamgarpour:
Core-Selecting Mechanisms in Electricity Markets. IEEE Trans. Smart Grid 11(3): 2604-2614 (2020) - [c49]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Mixed Strategies for Robust Optimization of Unknown Objectives. AISTATS 2020: 2970-2980 - [c48]Luca Furieri, Maryam Kamgarpour:
First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. ACC 2020: 4588-4593 - [c47]Yimeng Lu, Maryam Kamgarpour:
Safe Mission Planning under Dynamical Uncertainties. ICRA 2020: 2209-2215 - [c46]Luca Furieri, Yang Zheng, Maryam Kamgarpour:
Learning the Globally Optimal Distributed LQ Regulator. L4DC 2020: 287-297 - [c45]Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour:
Safe non-smooth black-box optimization with application to policy search. L4DC 2020: 980-989 - [c44]Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Contextual Games: Multi-Agent Learning with Side Information. NeurIPS 2020 - [c43]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Learning to Play Sequential Games versus Unknown Opponents. NeurIPS 2020 - [i32]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Mixed Strategies for Robust Optimization of Unknown Objectives. CoRR abs/2002.12613 (2020) - [i31]Yimeng Lu, Maryam Kamgarpour:
Safe Mission Planning under Dynamical Uncertainties. CoRR abs/2003.02913 (2020) - [i30]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Learning to Play Sequential Games versus Unknown Opponents. CoRR abs/2007.05271 (2020)
2010 – 2019
- 2019
- [j16]Damian Frick, Pier Giuseppe Sessa, Tony A. Wood, Maryam Kamgarpour:
Exploiting structure of chance constrained programs via submodularity. Autom. 105: 89-95 (2019) - [j15]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): 1014-1019 (2019) - [j14]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): 1373-1388 (2019) - [j13]Tatiana Tatarenko, Maryam Kamgarpour:
Learning Generalized Nash Equilibria in a Class of Convex Games. IEEE Trans. Autom. Control. 64(4): 1426-1439 (2019) - [j12]Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour:
Designing Coalition-Proof Reverse Auctions Over Continuous Goods. IEEE Trans. Autom. Control. 64(11): 4803-4810 (2019) - [j11]Luca Furieri, Maryam Kamgarpour:
Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures. IEEE Trans. Autom. Control. 64(12): 5199-5206 (2019) - [j10]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): 3860-3869 (2019) - [c42]Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. AISTATS 2019: 2017-2027 - [c41]Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour:
Safe Convex Learning under Uncertain Constraints. AISTATS 2019: 2106-2114 - [c40]Tatiana Tatarenko, Maryam Kamgarpour:
Learning Nash Equilibria in Monotone Games. CDC 2019: 3104-3109 - [c39]Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour:
Privacy of Real-Time Pricing in Smart Grid. CDC 2019: 5162-5167 - [c38]Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour:
Actuator Placement for Optimizing Network Performance under Controllability Constraints. CDC 2019: 7140-7147 - [c37]Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. ECC 2019: 42-49 - [c36]Vasileios Lefkopoulos, Maryam Kamgarpour:
Using Uncertainty Data in Chance-Constrained Trajectory Planning. ECC 2019: 2264-2269 - [c35]Tyler H. Summers, Maryam Kamgarpour:
Performance guarantees for greedy maximization of non-submodular controllability metrics. ECC 2019: 2796-2801 - [c34]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
No-Regret Learning in Unknown Games with Correlated Payoffs. NeurIPS 2019: 13602-13611 - [i29]Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. CoRR abs/1903.00950 (2019) - [i28]Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
An Input-Output Parametrization of Stabilizing Controllers: amidst Youla and System Level Synthesis. CoRR abs/1903.03828 (2019) - [i27]Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. CoRR abs/1903.04096 (2019) - [i26]Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour:
Actuator Placement for Optimizing Network Performance under Controllability Constraints. CoRR abs/1903.08120 (2019) - [i25]Tatiana Tatarenko, Maryam Kamgarpour:
Learning Nash Equilibria in Monotone Games. CoRR abs/1904.01882 (2019) - [i24]Vasileios Lefkopoulos, Maryam Kamgarpour:
Using Uncertainty Data in Chance-Constrained Trajectory Planning. CoRR abs/1904.12825 (2019) - [i23]Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
Sparsity Invariance for Convex Design of Distributed Controllers. CoRR abs/1906.06777 (2019) - [i22]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
No-Regret Learning in Unknown Games with Correlated Payoffs. CoRR abs/1909.08540 (2019) - [i21]Luca Furieri, Maryam Kamgarpour:
First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. CoRR abs/1909.10999 (2019) - [i20]Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li:
On the Parameterization of Stabilizing Controllers using Closed-loop Responses. CoRR abs/1909.12346 (2019) - [i19]Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour:
Privacy of Real-Time Pricing in Smart Grid. CoRR abs/1912.08523 (2019) - [i18]Luca Furieri, Yang Zheng, Maryam Kamgarpour:
Learning the Globally Optimal Distributed LQ Regulator. CoRR abs/1912.08774 (2019) - [i17]Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour:
Safe non-smooth black-box optimization with application to policy search. CoRR abs/1912.09466 (2019) - [i16]Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour:
Log Barriers for Safe Non-convex Black-box Optimization. CoRR abs/1912.09478 (2019) - [i15]Orcun Karaca, Pier Giuseppe Sessa, Anna Leidi, Maryam Kamgarpour:
No-Regret Learning from Partially Observed Data in Repeated Auctions. CoRR abs/1912.09905 (2019) - 2018
- [c33]Orcun Karaca, Maryam Kamgarpour:
Exploiting Weak Supermodularity for Coalition-Proof Mechanisms. CDC 2018: 1118-1123 - [c32]Luca Furieri, Maryam Kamgarpour:
Robust Distributed Control Beyond Quadratic Invariance. CDC 2018: 3728-3733 - [c31]Tatiana Tatarenko, Maryam Kamgarpour:
Minimizing Regret in Unconstrained Online Convex Optimization. ECC 2018: 143-148 - [c30]Yang Zheng, Maryam Kamgarpour, Aivar Sootla, Antonis Papachristodoulou:
Scalable analysis of linear networked systems via chordal decomposition. ECC 2018: 2260-2265 - [c29]Pier Giuseppe Sessa, Damian Frick, Tony A. Wood, Maryam Kamgarpour:
From Uncertainty Data to Robust Policies for Temporal Logic Planning. HSCC 2018: 157-166 - [c28]Bart De Moor, Yasamin Mostofi, Maryam Kamgarpour, Zdenko Kovacic, Maja Cepanec, Airlie Chapman, Mehran Mesbahi:
Plenary Lectures. MED 2018 - [i14]Luca Furieri, Maryam Kamgarpour:
Lowering the Upper Bounds on the Cost of Robust Distributed Controllers Beyond Quadratic Invariance. CoRR abs/1803.05528 (2018) - [i13]Orcun Karaca, Maryam Kamgarpour:
Exploiting Weak Supermodularity for Coalition-Proof Mechanisms. CoRR abs/1803.11030 (2018) - [i12]Tatiana Tatarenko, Maryam Kamgarpour:
Minimizing Regret in Bandit Online Optimization in Unconstrained and Constrained Action Spaces. CoRR abs/1806.05069 (2018) - [i11]Orcun Karaca, Maryam Kamgarpour:
Core-Selecting Mechanisms in Electricity Markets. CoRR abs/1811.09646 (2018) - 2017
- [j9]Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, Paul Goulart, John Lygeros:
Robust optimal control with adjustable uncertainty sets. Autom. 75: 249-259 (2017) - [j8]Maryam Kamgarpour, Tony A. Wood, Sean Summers, John Lygeros:
Control synthesis for stochastic systems given automata specifications defined by stochastic sets. Autom. 76: 177-182 (2017) - [j7]Damian Frick, Tony A. Wood, Gian Ulli, Maryam Kamgarpour:
Robust Control Policies Given Formal Specifications in Uncertain Environments. IEEE Control. Syst. Lett. 1(1): 20-25 (2017) - [j6]Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros:
The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes. J. Artif. Intell. Res. 60: 263-284 (2017) - [c27]Luca Furieri, Maryam Kamgarpour:
Robust control of constrained systems given an information structure. CDC 2017: 3481-3486 - [c26]Orcun Karaca, Maryam Kamgarpour:
Game theoretic analysis of electricity market auction mechanisms. CDC 2017: 6211-6216 - [i10]Basilio Gentile, Francesca Parise, Dario Paccagnan, Maryam Kamgarpour, John Lygeros:
Nash and Wardrop equilibria in aggregative games with coupling constraints. CoRR abs/1702.08789 (2017) - [i9]Tyler H. Summers, Changyuan Li, Maryam Kamgarpour:
Information Structure Design in Team Decision Problems. CoRR abs/1706.05572 (2017) - [i8]Luca Furieri, Maryam Kamgarpour:
The Value of Communication in Synthesizing Controllers given an Information Structure. CoRR abs/1711.05324 (2017) - [i7]Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour:
Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems. CoRR abs/1711.06774 (2017) - [i6]Tyler H. Summers, Maryam Kamgarpour:
Performance guarantees for greedy maximization of non-submodular set functions in systems and control. CoRR abs/1712.04122 (2017) - 2016
- [j5]Manuel Soler, Maryam Kamgarpour, Javier Lloret, John Lygeros:
A Hybrid Optimal Control Approach to Fuel-Efficient Aircraft Conflict Avoidance. IEEE Trans. Intell. Transp. Syst. 17(7): 1826-1838 (2016) - [c25]Tony A. Wood, Maryam Kamgarpour:
Automaton-based stochastic control for navigation of emergency rescuers in buildings. CCA 2016: 587-592 - [c24]Dario Paccagnan, Basilio Gentile, Francesca Parise, Maryam Kamgarpour, John Lygeros:
Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints. CDC 2016: 6123-6128 - [c23]Dalibor Drzajic, Nikolaos Kariotoglou, Maryam Kamgarpour, John Lygeros:
A Semidefinite Programming Approach to Control Synthesis for Stochastic Reach-Avoid Problems. ARCH@CPSWeek 2016: 134-143 - [c22]Dario Paccagnan, Maryam Kamgarpour, John Lygeros:
On aggregative and mean field games with applications to electricity markets. ECC 2016: 196-201 - [i5]Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour:
Exploring Vickrey-Clarke-Groves Mechanism for Electricity Markets. CoRR abs/1611.03044 (2016) - 2015
- [c21]Dario Paccagnan, Maryam Kamgarpour, John Lygeros:
On the range of feasible power trajectories for a population of thermostatically controlled loads. CDC 2015: 5883-5888 - [c20]X. Zhang, Evangelos Vrettos, Maryam Kamgarpour, Göran Andersson, John Lygeros:
Stochastic frequency reserve provision by chance-constrained control of commercial buildings. ECC 2015: 1134-1140 - [i4]Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros:
Upper bounds for the reach-avoid probability via robust optimization. CoRR abs/1506.03371 (2015) - [i3]Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, John Lygeros:
Robust Optimal Control with Adjustable Uncertainty Sets. CoRR abs/1511.04700 (2015) - 2014
- [c19]Xiaojing Zhang, Maryam Kamgarpour, Paul Goulart, John Lygeros:
Selling robustness margins: A framework for optimizing reserve capacities for linear systems. CDC 2014: 6419-6424 - [c18]Flavio Heer, Peyman Mohajerin Esfahani, Maryam Kamgarpour, John Lygeros:
Model based power optimisation of wind farms. ECC 2014: 1145-1150 - [i2]Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros:
A numerical approach to stochastic reach-avoid problems for Markov Decision Processes. CoRR abs/1411.5925 (2014) - 2013
- [j4]Jerry Ding, Maryam Kamgarpour, Sean Summers, Alessandro Abate, John Lygeros, Claire J. Tomlin:
A stochastic games framework for verification and control of discrete time stochastic hybrid systems. Autom. 49(9): 2665-2674 (2013) - [j3]Sean Summers, Maryam Kamgarpour, Claire J. Tomlin, John Lygeros:
Stochastic system controller synthesis for reachability specifications encoded by random sets. Autom. 49(9): 2906-2910 (2013) - [c17]Bratislav Svetozarevic, Peyman Mohajerin Esfahani, Maryam Kamgarpour, John Lygeros:
A robust fault detection and isolation filter for a horizontal axis variable speed wind turbine. ACC 2013: 4453-4458 - [c16]Maryam Kamgarpour, Hamidou Tembine:
A Bayesian mean field game approach to supply demand analysis of the smart grid. BlackSeaCom 2013: 211-215 - [c15]Mehdi Maasoumy, Pierluigi Nuzzo, Forrest N. Iandola, Maryam Kamgarpour, Alberto L. Sangiovanni-Vincentelli, Claire J. Tomlin:
Optimal load management system for Aircraft Electric Power distribution. CDC 2013: 2939-2945 - [c14]Tyler H. Summers, Konstantin Kunz, Nikolaos Kariotoglou, Maryam Kamgarpour, Sean Summers, John Lygeros:
Approximate dynamic programming via sum of squares programming. ECC 2013: 191-197 - [c13]Nikolaos Kariotoglou, Sean Summers, Tyler H. Summers, Maryam Kamgarpour, John Lygeros:
Approximate dynamic programming for stochastic reachability. ECC 2013: 584-589 - [c12]Johanna L. Mathieu, Maryam Kamgarpour, John Lygeros, Duncan S. Callaway:
Energy arbitrage with thermostatically controlled loads. ECC 2013: 2519-2526 - [c11]Maryam Kamgarpour, Sean Summers, John Lygeros:
Control design for specifications on stochastic hybrid systems. HSCC 2013: 303-312 - 2012
- [j2]Maryam Kamgarpour, Claire J. Tomlin:
On optimal control of non-autonomous switched systems with a fixed mode sequence. Autom. 48(6): 1177-1181 (2012) - [j1]Wei Zhang, Maryam Kamgarpour, Dengfeng Sun, Claire J. Tomlin:
A Hierarchical Flight Planning Framework for Air Traffic Management. Proc. IEEE 100(1): 179-194 (2012) - [c10]Manuel Soler, Maryam Kamgarpour, Claire J. Tomlin, Ernesto Staffetti:
Multiphase mixed-integer optimal control framework for aircraft conflict avoidance. CDC 2012: 1740-1745 - [i1]Tyler H. Summers, Konstantin Kunz, Nikolaos Kariotoglou, Maryam Kamgarpour, Sean Summers, John Lygeros:
Approximate Dynamic Programming via Sum of Squares Programming. CoRR abs/1212.1269 (2012) - 2011
- [c9]Wei Zhang, Maryam Kamgarpour, Dengfeng Sun, Claire J. Tomlin:
Decentralized flight path planning for air traffic management. ACC 2011: 2137-2142 - [c8]Maryam Kamgarpour, Jerry Ding, Sean Summers, Alessandro Abate, John Lygeros, Claire J. Tomlin:
Discrete time stochastic hybrid dynamical games: Verification & controller synthesis. CDC/ECC 2011: 6122-6127 - [c7]Sean Summers, Maryam Kamgarpour, John Lygeros, Claire J. Tomlin:
A stochastic reach-avoid problem with random obstacles. HSCC 2011: 251-260 - 2010
- [c6]Maryam Kamgarpour, Claire J. Tomlin:
Modeling and analysis of cell differentiation using hybrid systems. ACC 2010: 4355-4360 - [c5]Maryam Kamgarpour, Vera M. Dadok, Claire J. Tomlin:
Trajectory generation for aircraft subject to dynamic weather uncertainty. CDC 2010: 2063-2068 - [c4]Humberto González, Ramanarayan Vasudevan, Maryam Kamgarpour, S. Shankar Sastry, Ruzena Bajcsy, Claire J. Tomlin:
A numerical method for the optimal control of switched systems. CDC 2010: 7519-7526 - [c3]Humberto González, Ramanarayan Vasudevan, Maryam Kamgarpour, S. Shankar Sastry, Ruzena Bajcsy, Claire J. Tomlin:
A descent algorithm for the optimal control of constrained nonlinear switched dynamical systems. HSCC 2010: 51-60
2000 – 2009
- 2008
- [c2]Stephen Jackson, John Tisdale, Maryam Kamgarpour, Brandon Basso, J. Karl Hedrick:
Tracking controllers for small UAVs with wind disturbances: Theory and flight results. CDC 2008: 564-569 - [c1]Maryam Kamgarpour, Claire J. Tomlin:
Convergence properties of a decentralized Kalman filter. CDC 2008: 3205-3210
Coauthor Index
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