Maryam Kamgarpour

Orcid: 0000-0003-0230-3518

According to our database1, Maryam Kamgarpour authored at least 118 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning.
J. Mach. Learn. Res., 2024

Nash equilibria in scalar discrete-time linear quadratic games.
CoRR, 2024

A Policy Iteration Algorithm for N-player General-Sum Linear Quadratic Dynamic Games.
CoRR, 2024

Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning.
CoRR, 2024

Finite-time convergence to an ε-efficient Nash equilibrium in potential games.
CoRR, 2024

Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm.
CoRR, 2024

Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm.
CoRR, 2024

Safe Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty.
CoRR, 2024

Convergence Rate of Learning a Strongly Variationally Stable Equilibrium.
Proceedings of the European Control Conference, 2024

Multi-Agent Learning in Contextual Games under Unknown Constraints.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Certification of Bottleneck Task Assignment With Shortest Path Criteria.
IEEE Robotics Autom. Lett., 2023

Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty.
IEEE Control. Syst. Lett., 2023

Learning Nash Equilibria in Zero-Sum Markov Games: A Single Time-scale Algorithm Under Weak Reachability.
CoRR, 2023

Interior Point Constrained Reinforcement Learning with Global Convergence Guarantees.
CoRR, 2023

Safe Zeroth-Order Optimization Using Quadratic Local Approximations.
CoRR, 2023

Reinforcement learning for scaffold-free construction of spanning structures.
Proceedings of the 8th ACM Symposium on Computational Fabrication, 2023

Identifiability and Generalizability in Constrained Inverse Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Multi-robot task allocation for safe planning against stochastic hazard dynamics.
Proceedings of the European Control Conference, 2023

Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations.
Proceedings of the European Control Conference, 2023

Safe Zeroth-Order Optimization Using Linear Programs.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Safe Motion Planning Against Multimodal Distributions Based on a Scenario Approach.
IEEE Control. Syst. Lett., 2022

Multi-Agent Goal Assignment with Finite-Time Path Planning.
CoRR, 2022

On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games.
CoRR, 2022

System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation.
Autom., 2022

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation.
Proceedings of the International Conference on Machine Learning, 2022

2021
On the Equivalence of Youla, System-Level, and Input-Output Parameterizations.
IEEE Trans. Autom. Control., 2021

Actuator Placement Under Structural Controllability Using Forward and Reverse Greedy Algorithms.
IEEE Trans. Autom. Control., 2021

Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid.
Oper. Res. Lett., 2021

A market-based approach for enabling inter-area reserve exchange.
Oper. Res. Lett., 2021

A comment on performance guarantees of a greedy algorithm for minimizing a supermodular set function on comatroid.
Eur. J. Oper. Res., 2021

Multi-robot task allocation for safe planning under dynamic uncertainties.
CoRR, 2021

Trajectory planning under environmental uncertainty with finite-sample safety guarantees.
Autom., 2021

Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids.
IEEE Access, 2021

Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Fast Projection Onto Convex Smooth Constraints.
Proceedings of the 38th International Conference on Machine Learning, 2021

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems.
Proceedings of the 38th International Conference on Machine Learning, 2021

Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Core-Selecting Mechanisms in Electricity Markets.
IEEE Trans. Smart Grid, 2020

Distributed Design for Decentralized Control Using Chordal Decomposition and ADMM.
IEEE Trans. Control. Netw. Syst., 2020

Sparsity Invariance for Convex Design of Distributed Controllers.
IEEE Trans. Control. Netw. Syst., 2020

Learning to Play Sequential Games versus Unknown Opponents.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Contextual Games: Multi-Agent Learning with Side Information.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Safe non-smooth black-box optimization with application to policy search.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Learning the Globally Optimal Distributed LQ Regulator.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Safe Mission Planning under Dynamical Uncertainties.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance.
Proceedings of the 2020 American Control Conference, 2020

Mixed Strategies for Robust Optimization of Unknown Objectives.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM.
IEEE Trans. Smart Grid, 2019

Learning Generalized Nash Equilibria in a Class of Convex Games.
IEEE Trans. Autom. Control., 2019

Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints.
IEEE Trans. Autom. Control., 2019

Designing Coalition-Proof Reverse Auctions Over Continuous Goods.
IEEE Trans. Autom. Control., 2019

Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures.
IEEE Trans. Autom. Control., 2019

An Input-Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis.
IEEE Control. Syst. Lett., 2019

No-Regret Learning from Partially Observed Data in Repeated Auctions.
CoRR, 2019

Log Barriers for Safe Non-convex Black-box Optimization.
CoRR, 2019

On the Parameterization of Stabilizing Controllers using Closed-loop Responses.
CoRR, 2019

Exploiting structure of chance constrained programs via submodularity.
Autom., 2019

No-Regret Learning in Unknown Games with Correlated Payoffs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Performance guarantees for greedy maximization of non-submodular controllability metrics.
Proceedings of the 17th European Control Conference, 2019

Using Uncertainty Data in Chance-Constrained Trajectory Planning.
Proceedings of the 17th European Control Conference, 2019

On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers.
Proceedings of the 17th European Control Conference, 2019

Learning Nash Equilibria in Monotone Games.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Actuator Placement for Optimizing Network Performance under Controllability Constraints.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Privacy of Real-Time Pricing in Smart Grid.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Safe Convex Learning under Uncertain Constraints.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Minimizing Regret in Bandit Online Optimization in Unconstrained and Constrained Action Spaces.
CoRR, 2018

Lowering the Upper Bounds on the Cost of Robust Distributed Controllers Beyond Quadratic Invariance.
CoRR, 2018

Plenary Lectures.
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018

From Uncertainty Data to Robust Policies for Temporal Logic Planning.
Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week), 2018

Minimizing Regret in Unconstrained Online Convex Optimization.
Proceedings of the 16th European Control Conference, 2018

Scalable analysis of linear networked systems via chordal decomposition.
Proceedings of the 16th European Control Conference, 2018

Exploiting Weak Supermodularity for Coalition-Proof Mechanisms.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Robust Distributed Control Beyond Quadratic Invariance.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes.
J. Artif. Intell. Res., 2017

Robust Control Policies Given Formal Specifications in Uncertain Environments.
IEEE Control. Syst. Lett., 2017

Performance guarantees for greedy maximization of non-submodular set functions in systems and control.
CoRR, 2017

Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems.
CoRR, 2017

The Value of Communication in Synthesizing Controllers given an Information Structure.
CoRR, 2017

Information Structure Design in Team Decision Problems.
CoRR, 2017

Robust optimal control with adjustable uncertainty sets.
Autom., 2017

Control synthesis for stochastic systems given automata specifications defined by stochastic sets.
Autom., 2017

Game theoretic analysis of electricity market auction mechanisms.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Robust control of constrained systems given an information structure.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
A Hybrid Optimal Control Approach to Fuel-Efficient Aircraft Conflict Avoidance.
IEEE Trans. Intell. Transp. Syst., 2016

Exploring Vickrey-Clarke-Groves Mechanism for Electricity Markets.
CoRR, 2016

On aggregative and mean field games with applications to electricity markets.
Proceedings of the 15th European Control Conference, 2016

A Semidefinite Programming Approach to Control Synthesis for Stochastic Reach-Avoid Problems.
Proceedings of the ARCH@CPSWeek 2016, 2016

Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Automaton-based stochastic control for navigation of emergency rescuers in buildings.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
Robust Optimal Control with Adjustable Uncertainty Sets.
CoRR, 2015

Upper bounds for the reach-avoid probability via robust optimization.
CoRR, 2015

Stochastic frequency reserve provision by chance-constrained control of commercial buildings.
Proceedings of the 14th European Control Conference, 2015

On the range of feasible power trajectories for a population of thermostatically controlled loads.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
A numerical approach to stochastic reach-avoid problems for Markov Decision Processes.
CoRR, 2014

Model based power optimisation of wind farms.
Proceedings of the 13th European Control Conference, 2014

Selling robustness margins: A framework for optimizing reserve capacities for linear systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Stochastic system controller synthesis for reachability specifications encoded by random sets.
Autom., 2013

A stochastic games framework for verification and control of discrete time stochastic hybrid systems.
Autom., 2013

Control design for specifications on stochastic hybrid systems.
Proceedings of the 16th international conference on Hybrid systems: computation and control, 2013

Approximate dynamic programming via sum of squares programming.
Proceedings of the 12th European Control Conference, 2013

Energy arbitrage with thermostatically controlled loads.
Proceedings of the 12th European Control Conference, 2013

Approximate dynamic programming for stochastic reachability.
Proceedings of the 12th European Control Conference, 2013

Optimal load management system for Aircraft Electric Power distribution.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A Bayesian mean field game approach to supply demand analysis of the smart grid.
Proceedings of the First International Black Sea Conference on Communications and Networking, 2013

A robust fault detection and isolation filter for a horizontal axis variable speed wind turbine.
Proceedings of the American Control Conference, 2013

2012
A Hierarchical Flight Planning Framework for Air Traffic Management.
Proc. IEEE, 2012

On optimal control of non-autonomous switched systems with a fixed mode sequence.
Autom., 2012

Multiphase mixed-integer optimal control framework for aircraft conflict avoidance.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
A stochastic reach-avoid problem with random obstacles.
Proceedings of the 14th ACM International Conference on Hybrid Systems: Computation and Control, 2011

Discrete time stochastic hybrid dynamical games: Verification & controller synthesis.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Decentralized flight path planning for air traffic management.
Proceedings of the American Control Conference, 2011

2010
A descent algorithm for the optimal control of constrained nonlinear switched dynamical systems.
Proceedings of the 13th ACM International Conference on Hybrid Systems: Computation and Control, 2010

Trajectory generation for aircraft subject to dynamic weather uncertainty.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A numerical method for the optimal control of switched systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Modeling and analysis of cell differentiation using hybrid systems.
Proceedings of the American Control Conference, 2010

2008
Convergence properties of a decentralized Kalman filter.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Tracking controllers for small UAVs with wind disturbances: Theory and flight results.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008


  Loading...