Publications

2026

Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions

R. Ouhamma; M. Kamgarpour 

Proceedings of the AAAI Conference on Artificial Intelligence. 2026. Vol. 40, num. 20, p. 17170 – 17178. DOI : 10.1609/aaai.v40i20.38767.

Finite-time convergence to an ϵ-efficient Nash equilibrium in potential games

A. Maddux; R. Ouhamma; H. Catic; M. Kamgarpour 

IEEE Transactions on Control of Network Systems. 2026.  p. 1 – 12. DOI : 10.1109/TCNS.2026.3673502.

Finite-time convergence to an $\epsilon$-efficient Nash equilibrium in potential games

A. Maddux; R. Ouhamma; H. Catic; M. Kamgarpour 

IEEE Transactions on Control of Network Systems. 2026.  p. 1 – 12. DOI : 10.1109/tcns.2026.3673502.

2025

No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing

A. M. Maddux; M. Maljkovic; N. Geroliminis; M. Kamgarpour 

2025. 2025 IEEE 64th Conference on Decision and Control (CDC), Rio de Janeiro, Brazil, 2025-12-09 – 2025-12-12. p. 4009 – 4014. DOI : 10.1109/cdc57313.2025.11312071.

Rollout, Policy Iteration, and Distributed Reinforcement Learning [Book Review]

D. P. Bertsekas; M. Kamgarpour 

IEEE Control Systems. 2025. Vol. 45, num. 6, p. 134 – 136. DOI : 10.1109/mcs.2025.3615016.

Deep learning-driven MRI for accurate brain volumetry in murine models of neurodegenerative diseases

A. Doelemeyer; S. Vaishampayan; S. Zurbruegg; F. Morvan; G. Locatelli et al. 

Frontiers in Neuroscience. 2025. Vol. 19. DOI : 10.3389/fnins.2025.1632169.

On Linear Quadratic Potential Games☆

S. Hosseinirad; G. Salizzoni; A. A. Porzani; M. Kamgarpour 

AUTOMATICA. 2025. Vol. 183. DOI : 10.1016/j.automatica.2025.112643.

Publisher’s Note

T. Tatarenko; M. Kamgarpour 

European Journal of Control. 2025. Vol. 85. DOI : 10.1016/j.ejcon.2025.101320.

Learning to Assemble with Alternative Plans

Z. Wang; W. Liu; J. Wang; G. Vallat; F. Shi et al. 

ACM Transactions on Graphics. 2025. Vol. 44, num. 4, p. 1 – 16. DOI : 10.1145/3730824.

Nash equilibria in scalar discrete-time linear quadratic games

G. Salizzoni; R. Ouhamma; M. Kamgarpour 

2025. 2025 European Control Conference (ECC), Thessaloniki, Greece, 2025-06-24 – 2025-06-27. p. 2416 – 2421. DOI : 10.23919/ecc65951.2025.11187226.

Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental Design

A. Schlaginhaufen; R. Ouhamma; M. Kamgarpour 

2025

A learning-based approach to stochastic optimal control under reach-avoid constraint

T. Ni; M. Kamgarpour 

2025. 28th ACM International Conference on Hybrid Systems: Computation and Control (HSCC 2025)., Irvine CA USA, 2025-05-06 – 2025-05-09. p. 1 – 8. DOI : 10.1145/3716863.3718055.

Safe optimization with grey-box information: Application to composites autoclave processing improvement on the fly

M. A. Roohi; M. Ramezankhani; M. Kamgarpour; A. S. Milani 

Composites Part C: Open Access. 2025. Vol. 16, p. 100560. DOI : 10.1016/j.jcomc.2025.100560.

On the approximation of vector-valued functions by volume sampling

D. Kressner; T. Ni; A. Uschmajew 

Journal of Complexity. 2025. Vol. 86, p. 101887. DOI : 10.1016/j.jco.2024.101887.

Safe Zeroth-order Optimization Using Quadratic Local Approximations

B. Guo; Y. Jiang; G. Ferrari-Trecate; M. Kamgarpour 

AUTOMATICA. 2025. Vol. 174. DOI : 10.1016/j.automatica.2025.112141.

Chance-Constrained Linear Quadratic Gaussian Games for Multi-Robot Interaction Under Uncertainty

K. Ren; G. Salizzoni; M. E. Gürsoy; M. Kamgarpour 

IEEE Control Systems Letters. 2025.  p. 1 – 1. DOI : 10.1109/lcsys.2025.3588090.

On the Convergence of Gradient Descent in Scalar Two-Agent Infinite-Horizon LQ Games

G. Salizzoni; M. Kamgarpour 

IEEE Control Systems Letters. 2025.  p. 1 – 1. DOI : 10.1109/lcsys.2025.3574107.

2024

Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm

T. Renard; A. Schlaginhaufen; T. Ni; M. Kamgarpour 

2024. 63rd IEEE Conference on Decision and Control, Milan, Italy, 2024-12-16 – 2024-12-19. p. 8258 – 8263. DOI : 10.1109/CDC56724.2024.10886001.

Aircraft Trajectory Planning for Climate Hotspot Avoidance Considering Air Traffic Complexity: A Constrained Multi-Agent Reinforcement Learning Approach

F. Baneshi; M. Cerezo Magaña; M. Soler; T. Ni; M. Kamgarpour 

2024. SESAR Innovation Days 2024, Rome, 2024-11-12 – 2024-11-15.

Recursively Feasible Chance-Constrained Model Predictive Control Under Gaussian Mixture Model Uncertainty

K. Ren; C. Chen; H. Sung; H. Ahn; I. M. Mitchell et al. 

IEEE Transactions on Control Systems Technology. 2024.  p. 1 – 14. DOI : 10.1109/TCST.2024.3477089.

Learning to bid in forward electricity markets using a no-regret algorithm

A. Getaneh Abate; D. Majdi; J. Kazempour; M. Kamgarpour 

Electric Power Systems Research. 2024. Vol. 234, p. 110693. DOI : 10.1016/j.epsr.2024.110693.

A Distributed Augmenting Path Approach for the Bottleneck Assignment Problem

M. Khoo; T. A. Wood; C. Manzie; I. Shames 

Ieee Transactions On Automatic Control. 2024. Vol. 69, num. 2, p. 1210 – 1217. DOI : 10.1109/TAC.2023.3279336.

Payoff-Based Learning of Nash Equilibria in Merely Monotone Games

T. Tatarenko; M. Kamgarpour 

IEEE Transactions on Control of Network Systems. 2024.  p. 1 – 12. DOI : 10.1109/TCNS.2024.3355035.

Multi-Agent Learning in Contextual Games under Unknown Constraints

M. Kamgarpour; A. M. Maddux 

2024. 27th International Conference on Artificial Intelligence and Statistics, Palau de Congressos, Valencia, Spain, 2024-05-02 – 2024-05-04.

Towards the Transferability of Rewards Recovered Via Regularized Inverse Reinforcement Learning

A. Schlaginhaufen; M. Kamgarpour 

2024. 38th Annual Conference on Neural Information Processing Systems, Vancouver Convention Center, 2024-12-10 – 2024-12-15.

2023

Reinforcement learning for scaffold-free construction of spanning-structures

G. Vallat; J. Wang; A. M. Maddux; M. Kamgarpour; S. Parascho 

2023. 8th ACM Symposium on Computational Fabrication (SCF), New York, NY, OCT 08-10, 2023. DOI : 10.1145/3623263.3623359.

Certification of Bottleneck Task Assignment With Shortest Path Criteria

M. Kamgarpour; T. A. Wood 

IEEE Robotics and Automation. 2023. Vol. 8, p. 4545 – 4552. DOI : 10.1109/LRA.2023.3286815.

Provable Convergence Guarantees for Constrained Inverse Reinforcement Learning

T. Renard 

2023.

Constrained Inverse Reinforcement Learning: Challenges and Solutions for Real World Implementation

P. Chassagne 

2023.

Learning to make mixed-integer robot motion planning easy

T. Lewko 

2023.

Multi-agent Reinforcement Learning for Assembly of a Spanning Structure

G. Vallat 

2023.

Data-Driven Behaviour Estimation in Parametric Games

A. M. Maddux; N. Pagan; G. Belgioioso; F. Doerfler 

2023. 22nd World Congress of the International Federation of Automatic Control (IFAC), Yokohama, JAPAN, JUL 09-14, 2023. p. 9330 – 9335. DOI : 10.1016/j.ifacol.2023.10.220.

Identifiability and Generalizability in Constrained Inverse Reinforcement Learning

A. Schlaginhaufen; M. Kamgarpour 

2023. International Conference on Machine Learning, Honolulu, Hawaï, July 23-29, 2023.

Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations

B. Guo; Y. Jiang; M. Kamgarpour; G. Ferrari Trecate 

2023. 21st European Control Conference – ECC2023, Bucharest, Romania, June 13-16, 2023. DOI : 10.23919/ECC57647.2023.10178374.

Multi-robot task allocation for safe planning against stochastic hazard dynamics

M. Kamgarpour; D. Tihanyi; Y. Lu; O. Karaca 

2023. European Control Conference (ECC), Bucharest, Romania, June 13-16, 2023. DOI : 10.23919/ECC57647.2023.10178126.

2022

Enabling inter-area reserve exchange through stable benefit allocation mechanisms *

O. Karaca; S. Delikaraoglou; G. Hug; M. Kamgarpour 

Omega-International Journal Of Management Science. 2022. Vol. 113, p. 102711. DOI : 10.1016/j.omega.2022.102711.

Iterative Graph Deformation for Aircraft Trajectory Planning Considering Ensemble Forecasting of Thunderstorms

E. Andres; D. González-Arribas; M. Soler; M. Kamgarpour; M. Sanjurjo-Rivo et al. 

SSRN Electronic Journal. 2022. DOI : 10.2139/ssrn.4215235.

Optimal Task Assignment and Collision Avoidance for Mobile Robots

D. Hollosi 

2022.

Coordination and control of a group of ground robots

P. Chassagne 

2022.

Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty

K. Ren; H. Ahn; M. Kamgarpour 

Ieee Control Systems Letters. 2022. Vol. 7, p. 13 – 18. DOI : 10.1109/LCSYS.2022.3186269.

A greedy and distributable approach to the Lexicographic Bottleneck Assignment Problem with conditions on exactness

M. Khoo; T. A. Wood; C. Manzie; I. Shames 

Automatica. 2022. Vol. 140, p. 110240. DOI : 10.1016/j.automatica.2022.110240.

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation

P. G. Sessa; M. Kamgarpour; A. Krause 

2022. 38th International Conference on Machine Learning (ICML), Baltimore, MD, Jul 17-23, 2022. p. 19580 – 19597.

Safe Motion Planning against Multimodal Distributions Based on a Scenario Approach

H. Ahn; C. Chen; I. Mitchell; M. Kamgarpour 

IEEE Control Systems Letters. 2022. Vol. 6, p. 1142 – 1147. DOI : 10.1109/LCSYS.2021.3089641.

2021

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems

P. G. Sessa; I. Bogunovic; A. Krause; M. Kamgarpour 

2021. International Conference on Machine Learning, 2021-07-01. p. 9455 – 9464.

Fast Projection Onto Convex Smooth Constraints

I. Usmanova; M. Kamgarpour; A. Krause; K. Levy 

2021. International Conference on Machine Learning, 2021-07-01. p. 10476 – 10486.

Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems

Y. Zheng; L. Furieri; M. Kamgarpour; N. Li 

2021. Learning for Dynamics and Control, 2021-05-29. p. 559 – 570.

Multi-robot task allocation for safe planning against stochastic hazard dynamics

D. Tihanyi; Y. Lu; O. Karaca; M. Kamgarpour 

2021

A market-based approach for enabling inter-area reserve exchange

O. Karaca; S. Delikaraoglou; M. Kamgarpour 

Operations Research Letters. 2021. Vol. 49, num. 4, p. 501 – 506. DOI : 10.1016/j.orl.2021.05.009.

Bandit Online Learning of Nash Equilibria in Monotone Games

T. Tatarenko; M. Kamgarpour 

2021

Informed scenario-based RRT∗ for aircraft trajectory planning under ensemble forecasting of thunderstorms

E. Andrés; D. González-Arribas; M. Soler; M. Kamgarpour; M. Sanjurjo-Rivo 

Transportation Research Part C: Emerging Technologies. 2021. Vol. 129, p. 103232. DOI : 10.1016/j.trc.2021.103232.

Trajectory planning under environmental uncertainty with finite-sample safety guarantees

V. Lefkopoulos; M. Kamgarpour 

Automatica. 2021. Vol. 131, p. 109754. DOI : 10.1016/j.automatica.2021.109754.

On the Equivalence of Youla, System-Level, and Input-Output Parameterizations

Y. Zheng; L. Furieri; A. Papachristodoulou; N. Li; M. Kamgarpour 

IEEE Transactions on Automatic Control. 2021. Vol. 66, num. 1, p. 413 – 420. DOI : 10.1109/TAC.2020.2979785.

Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid

O. Karaca; D. Tihanyi; M. Kamgarpour 

Operations Research Letters. 2021. Vol. 49, num. 6, p. 855 – 861. DOI : 10.1016/j.orl.2021.09.006.

RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts

E. Andrés; M. Kamgarpour; M. Soler; M. Sanjurjo-Rivo; D. González-Arribas 

Lecture Notes in Electrical Engineering. 2021. Vol. 731 LNEE, p. 245 – 258. DOI : 10.1007/978-981-33-4669-7_14.

2020

Safe non-smooth black-box optimization with application to policy search

I. Usmanova; A. Krause; M. Kamgarpour 

2020. Learning for Dynamics and Control, 2020-07-31. p. 980 – 989.

Learning the Globally Optimal Distributed LQ Regulator

L. Furieri; Y. Zheng; M. Kamgarpour 

2020. Learning for Dynamics and Control, 2020-07-31. p. 287 – 297.

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance

L. Furieri; M. Kamgarpour 

2020. 2020 American Control Conference (ACC), Denver, CO, USA, 2020-07. p. 4588 – 4593. DOI : 10.23919/ACC45564.2020.9147358.

Mixed Strategies for Robust Optimization of Unknown Objectives

P. G. Sessa; I. Bogunovic; M. Kamgarpour; A. Krause 

2020. International Conference on Artificial Intelligence and Statistics, 2020-06-03. p. 2970 – 2980.

Distributed Design for Decentralized Control using Chordal Decomposition and ADMM

Y. Zheng; M. Kamgarpour; A. Sootla; A. Papachristodoulou 

IEEE Transactions on Control of Network Systems. 2020. Vol. 7, num. 2, p. 614 – 626. DOI : 10.1109/TCNS.2019.2935618.

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Y. Zheng; L. Furieri; M. Kamgarpour; N. Li 

2020

Minimizing Regret of Bandit Online Optimization in Unconstrained Action Spaces

T. Tatarenko; M. Kamgarpour 

2020

Core-Selecting Mechanisms in Electricity Markets

O. Karaca; M. Kamgarpour 

IEEE Transactions on Smart Grid. 2020. Vol. 11, num. 3, p. 2604 – 2614. DOI : 10.1109/TSG.2019.2958710.

Safe Mission Planning under Dynamical Uncertainties

Y. Lu; M. Kamgarpour 

2020. 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020-05. p. 2209 – 2215. DOI : 10.1109/ICRA40945.2020.9196515.

Learning to Play Sequential Games versus Unknown Opponents

P. G. Sessa; I. Bogunovic; M. Kamgarpour; A. Krause 

2020.  p. 8971 – 8981.

Contextual Games: Multi-Agent Learning with Side Information

P. G. Sessa; I. Bogunovic; A. Krause; M. Kamgarpour 

2020.  p. 21912 – 21922.

A Multiagent Model of Efficient and Sustainable Financial Markets

B. Shea 

2020. Machine Learning for Economic Policy workshop, Vancouver, 2020.

Actuator Placement under Structural Controllability using Forward and Reverse Greedy Algorithms

B. Guo; O. Karaca; T. H. Summers; M. Kamgarpour 

IEEE Transactions on Automatic Control. 2020.  p. 1 – 1. DOI : 10.1109/TAC.2020.3044284.

Sparsity Invariance for Convex Design of Distributed Controllers

L. Furieri; Y. Zheng; A. Papachristodoulou; M. Kamgarpour 

IEEE Transactions on Control of Network Systems. 2020. Vol. 7, num. 4, p. 1836 – 1847. DOI : 10.1109/TCNS.2020.3002429.

No-Regret Learning from Partially Observed Data in Repeated Auctions

O. Karaca; P. G. Sessa; A. Leidi; M. Kamgarpour 

IFAC-PapersOnLine. 2020. Vol. 53, num. 2, p. 14 – 19. DOI : 10.1016/j.ifacol.2020.12.029.

2019

Enabling inter-area reserve exchange through stable benefit allocation mechanisms

O. Karaca; S. Delikaraoglou; G. Hug; M. Kamgarpour 

2019

Learning Nash Equilibria in Monotone Games

T. Tatarenko; M. Kamgarpour 

2019. 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019-12. p. 3104 – 3109. DOI : 10.1109/CDC40024.2019.9029659.

Privacy of Real-Time Pricing in Smart Grid

M. Ghoddousi Boroujeni; D. Fay; C. Dimitrakakis; M. Kamgarpour 

2019. 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019-12. p. 5162 – 5167. DOI : 10.1109/CDC40024.2019.9029924.

Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures

L. Furieri; M. Kamgarpour 

IEEE Transactions on Automatic Control. 2019. Vol. 64, num. 12, p. 5199 – 5206. DOI : 10.1109/TAC.2019.2911655.

Actuator Placement for Optimizing Network Performance under Controllability Constraints

B. Guo; O. Karaca; T. Summers; M. Kamgarpour 

2019. 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019-12. p. 7140 – 7147. DOI : 10.1109/CDC40024.2019.9030204.

Log Barriers for Safe Non-convex Black-box Optimization

I. Usmanova; A. Krause; M. Kamgarpour 

2019

Designing Coalition-Proof Reverse Auctions Over Continuous Goods

O. Karaca; P. G. Sessa; N. Walton; M. Kamgarpour 

IEEE Transactions on Automatic Control. 2019. Vol. 64, num. 11, p. 4803 – 4810. DOI : 10.1109/TAC.2019.2908717.

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

L. Furieri; Y. Zheng; A. Papachristodoulou; M. Kamgarpour 

IEEE Control Systems Letters. 2019. Vol. 3, num. 4, p. 1014 – 1019. DOI : 10.1109/LCSYS.2019.2920205.

Exploiting structure of chance constrained programs via submodularity

D. Frick; P. G. Sessa; T. A. Wood; M. Kamgarpour 

Automatica. 2019. Vol. 105, p. 89 – 95. DOI : 10.1016/j.automatica.2019.03.027.

Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM

F. Rey; X. Zhang; S. Merkli; V. Agliati; M. Kamgarpour et al. 

IEEE Transactions on Smart Grid. 2019. Vol. 10, num. 4, p. 3860 – 3869. DOI : 10.1109/TSG.2018.2841508.

Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms

D. González-Arribas; M. Soler; M. Sanjurjo-Rivo; M. Kamgarpour; J. Simarro 

Aerospace Science and Technology. 2019. Vol. 89, p. 445 – 459. DOI : 10.1016/j.ast.2019.03.051.

Using Uncertainty Data in Chance-Constrained Trajectory Planning

V. Lefkopoulos; M. Kamgarpour 

2019. 2019 18th European Control Conference (ECC), Naples, Italy, 2019-06. p. 2264 – 2269. DOI : 10.23919/ECC.2019.8795823.

Performance guarantees for greedy maximization of non-submodular controllability metrics

T. Summers; M. Kamgarpour 

2019. 2019 18th European Control Conference (ECC), Naples, Italy, 2019-06. p. 2796 – 2801. DOI : 10.23919/ECC.2019.8795800.

On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers

L. Furieri; Y. Zheng; A. Papachristodoulou; M. Kamgarpour 

2019. 2019 18th European Control Conference (ECC), Naples, Italy, 2019-06. p. 42 – 49. DOI : 10.23919/ECC.2019.8796100.

Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature

P. G. Sessa; M. Kamgarpour; A. Krause 

2019. The 22nd International Conference on Artificial Intelligence and Statistics, 2019-04-11. p. 2017 – 2027.

Safe Convex Learning under Uncertain Constraints

I. Usmanova; A. Krause; M. Kamgarpour 

2019. The 22nd International Conference on Artificial Intelligence and Statistics, 2019-04-11. p. 2106 – 2114.

Learning Generalized Nash Equilibria in a Class of Convex Games

T. Tatarenko; M. Kamgarpour 

IEEE Transactions on Automatic Control. 2019. Vol. 64, num. 4, p. 1426 – 1439. DOI : 10.1109/TAC.2018.2841319.

Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints

D. Paccagnan; B. Gentile; F. Parise; M. Kamgarpour; J. Lygeros 

IEEE Transactions on Automatic Control. 2019. Vol. 64, num. 4, p. 1373 – 1388. DOI : 10.1109/TAC.2018.2849946.

No-Regret Learning in Unknown Games with Correlated Payoffs

P. G. Sessa; I. Bogunovic; M. Kamgarpour; A. Krause 

2019. Advances in Neural Information Processing System, Vancouver, 2019.

2018

Robust Distributed Control Beyond Quadratic Invariance

L. Furieri; M. Kamgarpour 

2018. 2018 IEEE Conference on Decision and Control (CDC), Miami Beach, FL, 2018-12. p. 3728 – 3733. DOI : 10.1109/CDC.2018.8619137.

Exploiting Weak Supermodularity for Coalition-Proof Mechanisms

O. Karaca; M. Kamgarpour 

2018. 2018 IEEE Conference on Decision and Control (CDC), Miami Beach, FL, 2018-12. p. 1118 – 1123. DOI : 10.1109/CDC.2018.8619337.

Reducing HVDC Network Oscillations Considering Wind Intermittency Through Optimized Grid Expansion Decision

A. Elahidoost; L. Furieri; E. Tedeschi; M. Kamgarpour 

2018. 2018 IEEE Energy Conversion Congress and Exposition (ECCE), Portland, OR, USA, 2018-09. p. 2683 – 2690. DOI : 10.1109/ECCE.2018.8557546.

On maximizing safety in stochastic aircraft trajectory planning with uncertain thunderstorm development

D. Hentzen; M. Kamgarpour; M. Soler; D. González-Arribas 

Aerospace Science and Technology. 2018. Vol. 79, p. 543 – 553. DOI : 10.1016/j.ast.2018.06.006.

Game-theoretic models in energy systems and control DTU Summer School 2018 Modern Optimization in Energy Systems‬

M. Kamgarpour 

2018

Optimizing HVDC Grid Expansion and Control for Enhancing DC Stability

A. Elahidoost; L. Furieri; E. Tedeschi; M. Kamgarpour 

2018. 2018 Power Systems Computation Conference (PSCC), Dublin, Ireland, 2018-06. p. 1 – 7. DOI : 10.23919/PSCC.2018.8442753.

Scalable analysis of linear networked systems via chordal decomposition

Y. Zheng; M. Kamgarpour; A. Sootla; A. Papachristodoulou 

2018. 2018 17th European Control Conference (ECC), Limassol, 2018-06. p. 2260 – 2265. DOI : 10.23919/ECC.2018.8550409.

Minimizing Regret in Unconstrained Online Convex Optimization

T. Tatarenko; M. Kamgarpour 

2018. 2018 17th European Control Conference (ECC), Limassol, 2018-06. p. 143 – 148. DOI : 10.23919/ECC.2018.8550310.

From Uncertainty Data to Robust Policies for Temporal Logic Planning

P. G. Sessa; D. Frick; T. A. Wood; M. Kamgarpour 

2018. HSCC ’18: 21st International Conference on Hybrid Systems: Computation and Control, Porto Portugal, 2018-04-11. p. 157 – 166. DOI : 10.1145/3178126.3178136.

2017

Robust control of constrained systems given an information structure

L. Furieri; M. Kamgarpour 

2017. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 2017-12. p. 3481 – 3486. DOI : 10.1109/CDC.2017.8264169.

Game theoretic analysis of electricity market auction mechanisms

O. Karaca; M. Kamgarpour 

2017. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 2017-12. p. 6211 – 6216. DOI : 10.1109/CDC.2017.8264596.

The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes

N. Kariotoglou; M. Kamgarpour; T. H. Summers; J. Lygeros 

Journal of Artificial Intelligence Research. 2017. Vol. 60, p. 263 – 285. DOI : 10.1613/jair.5500.