Maryam Kamgarpour
EPFL STI IGM SYCAMORE
ME C1 400 (Bâtiment ME)
Station 9
1015 Lausanne
Web site: Web site: https://www.epfl.ch/labs/sycamore/
Biography
Maryam Kamgarpour holds a Doctor of Philosophy in Engineering from the University of California, Berkeley and a Bachelor of Applied Science from University of Waterloo, Canada. Her research is on safe decision-making and control under uncertainty, game theory and mechanism design, mixed integer and stochastic optimization and control. Her theoretical research is motivated by control challenges arising in intelligent transportation networks, robotics, power grid systems and healthcare. She is the recipient of NASA High Potential Individual Award, NASA Excellence in Publication Award, and the European Union (ERC) Starting Grant.Publications
Infoscience publications
Infoscience
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
2023. International Conference on Machine Learning, Honolulu, Hawaï, July 23-29, 2023.Multi-robot task allocation for safe planning against stochastic hazard dynamics
2023. European Control Conference (ECC), Bucharest, Romania, June 13-16, 2023. DOI : 10.23919/ECC57647.2023.10178126.Certification of Bottleneck Task Assignment With Shortest Path Criteria
IEEE Robotics and Automation. 2023-06-15. DOI : 10.1109/LRA.2023.3286815.Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations
2023. 21st European Control Conference - ECC2023, Bucharest, Romania, June 13-16, 2023. DOI : 10.23919/ECC57647.2023.10178374.Reinforcement learning for scaffold-free construction of spanning-structures
2023-10-10. 8th annual ACM Symposium on Computational Fabrication.Constrained Inverse Reinforcement Learning: Challenges and Solutions for Real World Implementation
2023-06-14Learning to make mixed-integer robot motion planning easy
2023-01-20Provable Convergence Guarantees for Constrained Inverse Reinforcement Learning
2023-06-14Data-Driven Control and Optimization under Noisy and Uncertain Conditions
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-10304.Learning and optimization of anticipatory feedback controllers for robot manipulation
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9850.Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty
Ieee Control Systems Letters. 2022-06-24. DOI : 10.1109/LCSYS.2022.3186269.Enabling inter-area reserve exchange through stable benefit allocation mechanisms *
Omega-International Journal Of Management Science. 2022-12-01. DOI : 10.1016/j.omega.2022.102711.Safe Motion Planning against Multimodal Distributions Based on a Scenario Approach
IEEE Control Systems Letters. 2022. DOI : 10.1109/LCSYS.2021.3089641.Coordination and control of a group of ground robots
2022-06-28Optimal Task Assignment and Collision Avoidance for Mobile Robots
2022-07-07Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
2022-01-01. 38th International Conference on Machine Learning (ICML), Baltimore, MD, Jul 17-23, 2022. p. 19580-19597.Deep Learning Methods for Socially-Aware Human Trajectory Forecasting
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9842.Trajectory planning under environmental uncertainty with finite-sample safety guarantees
Automatica. 2021. DOI : 10.1016/j.automatica.2021.109754.Bandit Online Learning of Nash Equilibria in Monotone Games
2021A comment on performance guarantees of a greedy algorithm for minimizing a supermodular set function on comatroid
European Journal Of Operational Research. 2021-04-01. DOI : 10.1016/j.ejor.2020.07.047.Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids
Ieee Access. 2021-01-01. DOI : 10.1109/ACCESS.2021.3096291.Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid
Operations Research Letters. 2021. DOI : 10.1016/j.orl.2021.09.006.A market-based approach for enabling inter-area reserve exchange
Operations Research Letters. 2021. DOI : 10.1016/j.orl.2021.05.009.Multi-robot task allocation for safe planning against stochastic hazard dynamics
2021-05-25On the Equivalence of Youla, System-Level, and Input-Output Parameterizations
IEEE Transactions on Automatic Control. 2021. DOI : 10.1109/TAC.2020.2979785.Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems
2021-05-29. Learning for Dynamics and Control, 2021-05-29. p. 559-570.Fast Projection Onto Convex Smooth Constraints
2021-07-01. International Conference on Machine Learning, 2021-07-01. p. 10476-10486.Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness
2021-01-01. 60th IEEE Conference on Decision and Control (CDC), ELECTR NETWORK, Dec 13-17, 2021. p. 5294-5299. DOI : 10.1109/CDC45484.2021.9683002.Informed scenario-based RRT∗ for aircraft trajectory planning under ensemble forecasting of thunderstorms
Transportation Research Part C: Emerging Technologies. 2021. DOI : 10.1016/j.trc.2021.103232.RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts
Lecture Notes in Electrical Engineering. 2021. DOI : 10.1007/978-981-33-4669-7_14.Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
2021-07-01. International Conference on Machine Learning, 2021-07-01. p. 9455-9464.Minimizing Regret of Bandit Online Optimization in Unconstrained Action Spaces
2020-05-02First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance
2020-07. 2020 American Control Conference (ACC), Denver, CO, USA, 2020-07. p. 4588-4593. DOI : 10.23919/ACC45564.2020.9147358.Core-Selecting Mechanisms in Electricity Markets
IEEE Transactions on Smart Grid. 2020-05. DOI : 10.1109/TSG.2019.2958710.Safe Mission Planning under Dynamical Uncertainties
2020-05. 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020-05. p. 2209-2215. DOI : 10.1109/ICRA40945.2020.9196515.Sparsity Invariance for Convex Design of Distributed Controllers
IEEE Transactions on Control of Network Systems. 2020. DOI : 10.1109/TCNS.2020.3002429.Safe non-smooth black-box optimization with application to policy search
2020-07-31. Learning for Dynamics and Control, 2020-07-31. p. 980-989.Learning the Globally Optimal Distributed LQ Regulator
2020-07-31. Learning for Dynamics and Control, 2020-07-31. p. 287-297.System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation
2020-05-28Distributed Design for Decentralized Control using Chordal Decomposition and ADMM
IEEE Transactions on Control of Network Systems. 2020-06. DOI : 10.1109/TCNS.2019.2935618.Actuator Placement under Structural Controllability using Forward and Reverse Greedy Algorithms
IEEE Transactions on Automatic Control. 2020. DOI : 10.1109/TAC.2020.3044284.No-Regret Learning from Partially Observed Data in Repeated Auctions
IFAC-PapersOnLine. 2020. DOI : 10.1016/j.ifacol.2020.12.029.Contextual Games: Multi-Agent Learning with Side Information
2020. 2020. p. 21912–21922.Mixed Strategies for Robust Optimization of Unknown Objectives
2020-06-03. International Conference on Artificial Intelligence and Statistics, 2020-06-03. p. 2970-2980.Learning to Play Sequential Games versus Unknown Opponents
2020. 2020. p. 8971–8981.Performance guarantees for greedy maximization of non-submodular controllability metrics
2019-06. 2019 18th European Control Conference (ECC), Naples, Italy, 2019-06. p. 2796-2801. DOI : 10.23919/ECC.2019.8795800.Using Uncertainty Data in Chance-Constrained Trajectory Planning
2019-06. 2019 18th European Control Conference (ECC), Naples, Italy, 2019-06. p. 2264-2269. DOI : 10.23919/ECC.2019.8795823.Learning Nash Equilibria in Monotone Games
2019-12. 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019-12. p. 3104-3109. DOI : 10.1109/CDC40024.2019.9029659.Learning Generalized Nash Equilibria in a Class of Convex Games
IEEE Transactions on Automatic Control. 2019-04. DOI : 10.1109/TAC.2018.2841319.Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures
IEEE Transactions on Automatic Control. 2019-12. DOI : 10.1109/TAC.2019.2911655.Log Barriers for Safe Non-convex Black-box Optimization
2019-12Safe Convex Learning under Uncertain Constraints
2019-04-11. The 22nd International Conference on Artificial Intelligence and Statistics, 2019-04-11. p. 2106-2114.Actuator Placement for Optimizing Network Performance under Controllability Constraints
2019-12. 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019-12. p. 7140-7147. DOI : 10.1109/CDC40024.2019.9030204.Enabling inter-area reserve exchange through stable benefit allocation mechanisms
2019-12-20On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers
2019-06. 2019 18th European Control Conference (ECC), Naples, Italy, 2019-06. p. 42-49. DOI : 10.23919/ECC.2019.8796100.An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis
IEEE Control Systems Letters. 2019-10. DOI : 10.1109/LCSYS.2019.2920205.Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints
IEEE Transactions on Automatic Control. 2019-04. DOI : 10.1109/TAC.2018.2849946.Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM
IEEE Transactions on Smart Grid. 2019-07. DOI : 10.1109/TSG.2018.2841508.Privacy of Real-Time Pricing in Smart Grid
2019-12. 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019-12. p. 5162-5167. DOI : 10.1109/CDC40024.2019.9029924.Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature
2019-04-11. The 22nd International Conference on Artificial Intelligence and Statistics, 2019-04-11. p. 2017-2027.No-Regret Learning in Unknown Games with Correlated Payoffs
2019. Advances in Neural Information Processing System, Vancouver, 2019.Designing Coalition-Proof Reverse Auctions Over Continuous Goods
IEEE Transactions on Automatic Control. 2019-11. DOI : 10.1109/TAC.2019.2908717.Exploiting structure of chance constrained programs via submodularity
Automatica. 2019-07. DOI : 10.1016/j.automatica.2019.03.027.Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms
Aerospace Science and Technology. 2019-06. DOI : 10.1016/j.ast.2019.03.051.Exploiting Weak Supermodularity for Coalition-Proof Mechanisms
2018-12. 2018 IEEE Conference on Decision and Control (CDC), Miami Beach, FL, 2018-12. p. 1118-1123. DOI : 10.1109/CDC.2018.8619337.Robust Distributed Control Beyond Quadratic Invariance
2018-12. 2018 IEEE Conference on Decision and Control (CDC), Miami Beach, FL, 2018-12. p. 3728-3733. DOI : 10.1109/CDC.2018.8619137.Minimizing Regret in Unconstrained Online Convex Optimization
2018-06. 2018 17th European Control Conference (ECC), Limassol, 2018-06. p. 143-148. DOI : 10.23919/ECC.2018.8550310.Game-theoretic models in energy systems and control DTU Summer School 2018 Modern Optimization in Energy Systems
2018-06-29Optimizing HVDC Grid Expansion and Control for Enhancing DC Stability
2018-06. 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
2018-06. 2018 17th European Control Conference (ECC), Limassol, 2018-06. p. 2260-2265. DOI : 10.23919/ECC.2018.8550409.Reducing HVDC Network Oscillations Considering Wind Intermittency Through Optimized Grid Expansion Decision
2018-09. 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
Aerospace Science and Technology. 2018-08. DOI : 10.1016/j.ast.2018.06.006.From Uncertainty Data to Robust Policies for Temporal Logic Planning
2018-04-11. HSCC '18: 21st International Conference on Hybrid Systems: Computation and Control, Porto Portugal, 2018-04-11. p. 157-166. DOI : 10.1145/3178126.3178136.Payoff-Based Approach to Learning Nash Equilibria in Convex Games * *This research is partially supported by M. Kamgarpour’s European Union ERC Starting Grant, CONENE.
IFAC-PapersOnLine. 2017-07. DOI : 10.1016/j.ifacol.2017.08.300.Robust control of constrained systems given an information structure
2017-12. 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
2017-12. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 2017-12. p. 6211-6216. DOI : 10.1109/CDC.2017.8264596.On infinite dimensional linear programming approach to stochastic control * *This research is partially supported by M. Kamgarpour’s European Union ERC Starting Grant, CONENE and by T. Summers’ the US National Science Foundation under grant CNS-1566127.
IFAC-PapersOnLine. 2017-07. DOI : 10.1016/j.ifacol.2017.08.979.Information Structure Design in Team Decision Problems
IFAC-PapersOnLine. 2017-07. DOI : 10.1016/j.ifacol.2017.08.067.A Semidefinite Programming Approach to Control Synthesis for Stochastic Reach-Avoid Problems
2017. 3rd International Workshop on Applied Verification for Continuous and Hybrid Sytems, ARCH16, 2017. p. 134-143.Sequential Linear Quadratic Optimal Control for Nonlinear Switched Systems
IFAC-PapersOnLine. 2017-07. DOI : 10.1016/j.ifacol.2017.08.291.Exploring the Vickrey-Clarke-Groves Mechanism for Electricity Markets * *This work is partially funded under M. Kamgarpour’s European Union ERC Starting Grant CONENE.
IFAC-PapersOnLine. 2017-07. DOI : 10.1016/j.ifacol.2017.08.032.Robust optimal control with adjustable uncertainty sets
Automatica. 2017. DOI : 10.1016/j.automatica.2016.09.016.Control synthesis for stochastic systems given automata specifications defined by stochastic sets
Automatica. 2017-02. DOI : 10.1016/j.automatica.2016.10.013.Robust Control Policies Given Formal Specifications in Uncertain Environments
IEEE Control Systems Letters. 2017-07. DOI : 10.1109/LCSYS.2017.2700333.The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes
Journal of Artificial Intelligence Research. 2017-10-04. DOI : 10.1613/jair.5500.Optimal Aircraft Trajectory Planning in the Presence of Stochastic Convective Weather Cells
2017-06-05. 17th AIAA Aviation Technology, Integration, and Operations Conference, Denver, Colorado, 2017-06-05. DOI : 10.2514/6.2017-3431.On aggregative and mean field games with applications to electricity markets
2016-06. 2016 European Control Conference (ECC), Aalborg, Denmark, 2016-06. p. 196-201. DOI : 10.1109/ECC.2016.7810286.Reachability-based Control Synthesis for Power System Stability
IFAC-PapersOnLine. 2016. DOI : 10.1016/j.ifacol.2016.10.695.Stochastic Control-A Moment Approach to Sparse Control Design
2016-07. International Symposium on Mathematical Theory of Networks and Systems, University of Minnesota, 2016-07.Automaton-based stochastic control for navigation of emergency rescuers in buildings
2016-09. 2016 IEEE Conference on Control Applications (CCA), Buenos Aires, Argentina, 2016-09. p. 587-592. DOI : 10.1109/CCA.2016.7587893.A Hybrid Optimal Control Approach to Fuel-Efficient Aircraft Conflict Avoidance
IEEE Transactions on Intelligent Transportation Systems. 2016-07. DOI : 10.1109/TITS.2015.2510824.Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints
2016-12. 2016 IEEE 55th Conference on Decision and Control (CDC), Las Vegas, NV, USA, 2016-12. p. 6123-6128. DOI : 10.1109/CDC.2016.7799210.On the range of feasible power trajectories for a population of thermostatically controlled loads
2015-12. 2015 54th IEEE Conference on Decision and Control (CDC), Osaka, 2015-12. p. 5883-5888. DOI : 10.1109/CDC.2015.7403144.Stochastic frequency reserve provision by chance-constrained control of commercial buildings
2015-07. 2015 European Control Conference (ECC), Linz, Austria, 2015-07. p. 1134-1140. DOI : 10.1109/ECC.2015.7330692.Upper bounds for the reach-avoid probability via robust optimization
2015-06-10Arbitraging Intraday Wholesale Energy Market Prices With Aggregations of Thermostatic Loads
IEEE Transactions on Power Systems. 2015-03. DOI : 10.1109/TPWRS.2014.2335158.Selling robustness margins: A framework for optimizing reserve capacities for linear systems
2014-12. 2014 IEEE 53rd Annual Conference on Decision and Control (CDC), Los Angeles, CA, USA, 2014-12. p. 6419-6424. DOI : 10.1109/CDC.2014.7040396.A Numerical Framework and Benchmark Case study for Muti-modal Fuel Efficient Aircraft Conflict Avoidance
2014-05-26. Sixth International Conference on Research in Air Transportation, Istambul, 2014-05-26. p. 8 p..Model based power optimisation of wind farms
2014-06. 2014 European Control Conference (ECC), Strasbourg, France, 2014-06. p. 1145-1150. DOI : 10.1109/ECC.2014.6862365.A Bayesian mean field game approach to supply demand analysis of the smart grid
2013-07. 2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom), Batumi, Georgia, 2013-07. p. 211-215. DOI : 10.1109/BlackSeaCom.2013.6623412.Approximate dynamic programming for stochastic reachability
2013. 2013 European Control Conference, ECC 2013, 2013. p. 584-589. DOI : 10.23919/ecc.2013.6669603.Stochastic system controller synthesis for reachability specifications encoded by random sets
Automatica. 2013-09. DOI : 10.1016/j.automatica.2013.06.016.A robust fault detection and isolation filter for a horizontal axis variable speed wind turbine
2013. Proceedings of the American Control Conference, 2013. p. 4453-4458. DOI : 10.1109/acc.2013.6580526.Approximate dynamic programming via sum of squares programming
2013. 2013 European Control Conference, ECC 2013, 2013. p. 191-197. DOI : 10.23919/ecc.2013.6669374.Energy arbitrage with thermostatically controlled loads
2013. 2013 European Control Conference, ECC 2013, 2013. p. 2519-2526. DOI : 10.23919/ecc.2013.6669582.Optimal load management system for aircraft electric power distribution
2013. Proceedings of the IEEE Conference on Decision and Control, 2013. p. 2939-2945. DOI : 10.1109/CDC.2013.6760330.A stochastic games framework for verification and control of discrete time stochastic hybrid systems
Automatica. 2013-09. DOI : 10.1016/j.automatica.2013.05.025.Modeling options for demand side participation of thermostatically controlled loads
2013-08. 2013 IREP Symposium - Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid (IREP), Rethymno, Greece, 2013-08. p. 1-15. DOI : 10.1109/IREP.2013.6629396.Multiphase mixed-integer optimal control framework for aircraft conflict avoidance
2012. Proceedings of the IEEE Conference on Decision and Control, 2012. p. 1740-1745. DOI : 10.1109/CDC.2012.6426709.On optimal control of non-autonomous switched systems with a fixed mode sequence
Automatica. 2012. DOI : 10.1016/j.automatica.2012.03.019.Control design for specifications on stochastic hybrid systems
2012. HSCC 2013 - Proceedings of the 16th International Conference on Hybrid Systems: Computation and Control, Part of CPSWeek 2013, 2012. p. 303-312. DOI : 10.1145/2461328.2461374.A hierarchical flight planning framework for air traffic management
Proceedings of the IEEE. 2012. DOI : 10.1109/JPROC.2011.2161243.A stochastic reach-avoid problem with random obstacles
2011. the 14th international conference, Chicago, IL, USA, 2011. p. 251. DOI : 10.1145/1967701.1967738.Modeling and Optimization of Terminal Airspace and Aircraft Arrival Subject To Weather Uncertainties
2011-08-08. AIAA Guidance, Navigation, and Control Conference, Portland, Oregon, 2011-08-08. DOI : 10.2514/6.2011-6516.Discrete time stochastic hybrid dynamical games: Verification & controller synthesis
2011. Proceedings of the IEEE Conference on Decision and Control, 2011. p. 6122-6127. DOI : 10.1109/CDC.2011.6161218.Decentralized flight path planning for air traffic management
2011-06. Proceedings of the 2011 American Control Conference, 2011-06. p. 2137-2142. DOI : 10.1109/ACC.2011.5991156.Hybrid Optimal Control for Aircraft Trajectory Design with a Variable Sequence of Modes
IFAC Proceedings Volumes. 2011. DOI : 10.3182/20110828-6-IT-1002.01643.Modeling and analysis of cell differentiation using hybrid systems
2010-06. 2010 American Control Conference (ACC 2010), Baltimore, MD, 2010-06. p. 4355-4360. DOI : 10.1109/ACC.2010.5530837.Trajectory generation for aircraft subject to dynamic weather uncertainty
2010-12. 2010 49th IEEE Conference on Decision and Control (CDC), Atlanta, GA, USA, 2010-12. p. 2063-2068. DOI : 10.1109/CDC.2010.5717889.Benefits of Continuous Descent Operations in High-Density Terminal Airspace Considering Scheduling Constraints
2010-09-13. 10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, Fort Worth, Texas, 2010-09-13. DOI : 10.2514/6.2010-9115.A numerical method for the optimal control of switched systems
2010-12. 2010 49th IEEE Conference on Decision and Control (CDC), Atlanta, GA, USA, 2010-12. p. 7519-7526. DOI : 10.1109/CDC.2010.5717469.A descent algorithm for the optimal control of constrained nonlinear switched dynamical systems
2010. the 13th ACM international conference, Stockholm, Sweden, 2010. p. 51. DOI : 10.1145/1755952.1755961.Convergence properties of a decentralized Kalman filter
2008. 2008 47th IEEE Conference on Decision and Control, Cancun, Mexico, 2008. p. 3205-3210. DOI : 10.1109/CDC.2008.4738989.Tracking controllers for small UAVs with wind disturbances: Theory and flight results
2008. 2008 47th IEEE Conference on Decision and Control, Cancun, Mexico, 2008. p. 564-569. DOI : 10.1109/CDC.2008.4739415.Teaching & PhD
Teaching
Mechanical Engineering
PhD Students
Guo Baiwei, Maddux Anna Maria, Ni Tingting, Ren Kai, Salizzoni Giulio, Schlaginhaufen Andreas,Courses
Foundations of artificial intelligence
This course provides the students with 1) a set of theoretical concepts to understand the machine learning approach; and 2) a subset of the tools to use this approach for problems arising in mechanical engineering applications.
Multi-agent learning and control
Students will be able to formulate a multi-agent decision-making problem as a game and apply relevant mathematical theories and algorithms to analyze the interaction of the agents and predict the outcome of the decision-making problems.