2025
Rollout, Policy Iteration, and Distributed Reinforcement Learning [Book Review]
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
Frontiers in Neuroscience. 2025. Vol. 19. DOI : 10.3389/fnins.2025.1632169.Learning to Assemble with Alternative Plans
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
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
2025
A learning-based approach to stochastic optimal control under reach-avoid constraint
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
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
Journal of Complexity. 2025. Vol. 86, p. 101887. DOI : 10.1016/j.jco.2024.101887.On the Convergence of Gradient Descent in Scalar Two-Agent Infinite-Horizon LQ Games
IEEE Control Systems Letters. 2025. p. 1 – 1. DOI : 10.1109/lcsys.2025.3574107.Chance-Constrained Linear Quadratic Gaussian Games for Multi-Robot Interaction Under Uncertainty
IEEE Control Systems Letters. 2025. p. 1 – 1. DOI : 10.1109/lcsys.2025.3588090.2024
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm
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
2024. SESAR Innovation Days 2024, Rome, 2024-11-12 – 2024-11-15.Recursively Feasible Chance-Constrained Model Predictive Control Under Gaussian Mixture Model Uncertainty
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
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
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
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
2024. 27th International Conference on Artificial Intelligence and Statistics, Palau de Congressos, Valencia, Spain, 2024-05-02 – 2024-05-04.2023
Reinforcement learning for scaffold-free construction of spanning-structures
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
IEEE Robotics and Automation. 2023. Vol. 8, p. 4545 – 4552. DOI : 10.1109/LRA.2023.3286815.Provable Convergence Guarantees for Constrained Inverse Reinforcement Learning
2023.Constrained Inverse Reinforcement Learning: Challenges and Solutions for Real World Implementation
2023.Multi-agent Reinforcement Learning for Assembly of a Spanning Structure
2023.Learning to make mixed-integer robot motion planning easy
2023.Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
2023. International Conference on Machine Learning, Honolulu, Hawaï, July 23-29, 2023.Data-Driven Behaviour Estimation in Parametric Games
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.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.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/ECC57647.2023.10178126.2022
Enabling inter-area reserve exchange through stable benefit allocation mechanisms *
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
SSRN Electronic Journal. 2022. DOI : 10.2139/ssrn.4215235.Optimal Task Assignment and Collision Avoidance for Mobile Robots
2022.Coordination and control of a group of ground robots
2022.Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty
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
Automatica. 2022. Vol. 140, p. 110240. DOI : 10.1016/j.automatica.2022.110240.Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
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
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
2021. International Conference on Machine Learning, 2021-07-01. p. 9455 – 9464.Fast Projection Onto Convex Smooth Constraints
2021. International Conference on Machine Learning, 2021-07-01. p. 10476 – 10486.Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems
2021. Learning for Dynamics and Control, 2021-05-29. p. 559 – 570.Multi-robot task allocation for safe planning against stochastic hazard dynamics
2021
Trajectory planning under environmental uncertainty with finite-sample safety guarantees
Automatica. 2021. Vol. 131, p. 109754. DOI : 10.1016/j.automatica.2021.109754.Informed scenario-based RRT∗ for aircraft trajectory planning under ensemble forecasting of thunderstorms
Transportation Research Part C: Emerging Technologies. 2021. Vol. 129, p. 103232. DOI : 10.1016/j.trc.2021.103232.Bandit Online Learning of Nash Equilibria in Monotone Games
2021
RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts
Lecture Notes in Electrical Engineering. 2021. Vol. 731 LNEE, p. 245 – 258. DOI : 10.1007/978-981-33-4669-7_14.On the Equivalence of Youla, System-Level, and Input-Output Parameterizations
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
Operations Research Letters. 2021. Vol. 49, num. 6, p. 855 – 861. DOI : 10.1016/j.orl.2021.09.006.A market-based approach for enabling inter-area reserve exchange
Operations Research Letters. 2021. Vol. 49, num. 4, p. 501 – 506. DOI : 10.1016/j.orl.2021.05.009.2020
Learning the Globally Optimal Distributed LQ Regulator
2020. Learning for Dynamics and Control, 2020-07-31. p. 287 – 297.Safe non-smooth black-box optimization with application to policy search
2020. Learning for Dynamics and Control, 2020-07-31. p. 980 – 989.First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance
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
2020. International Conference on Artificial Intelligence and Statistics, 2020-06-03. p. 2970 – 2980.Distributed Design for Decentralized Control using Chordal Decomposition and ADMM
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
2020
Minimizing Regret of Bandit Online Optimization in Unconstrained Action Spaces
2020
Core-Selecting Mechanisms in Electricity Markets
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
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
2020. p. 8971 – 8981.Contextual Games: Multi-Agent Learning with Side Information
2020. p. 21912 – 21922.A Multiagent Model of Efficient and Sustainable Financial Markets
2020. Machine Learning for Economic Policy workshop, Vancouver, 2020.Actuator Placement under Structural Controllability using Forward and Reverse Greedy Algorithms
IEEE Transactions on Automatic Control. 2020. p. 1 – 1. DOI : 10.1109/TAC.2020.3044284.Sparsity Invariance for Convex Design of Distributed Controllers
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
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
2019
Actuator Placement for Optimizing Network Performance under Controllability Constraints
2019. 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019-12. p. 7140 – 7147. DOI : 10.1109/CDC40024.2019.9030204.Learning Nash Equilibria in Monotone Games
2019. 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019-12. p. 3104 – 3109. DOI : 10.1109/CDC40024.2019.9029659.Log Barriers for Safe Non-convex Black-box Optimization
2019
Privacy of Real-Time Pricing in Smart Grid
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
IEEE Transactions on Automatic Control. 2019. Vol. 64, num. 12, p. 5199 – 5206. DOI : 10.1109/TAC.2019.2911655.Designing Coalition-Proof Reverse Auctions Over Continuous Goods
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
IEEE Control Systems Letters. 2019. Vol. 3, num. 4, p. 1014 – 1019. DOI : 10.1109/LCSYS.2019.2920205.Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM
IEEE Transactions on Smart Grid. 2019. Vol. 10, num. 4, p. 3860 – 3869. DOI : 10.1109/TSG.2018.2841508.Exploiting structure of chance constrained programs via submodularity
Automatica. 2019. Vol. 105, p. 89 – 95. DOI : 10.1016/j.automatica.2019.03.027.Performance guarantees for greedy maximization of non-submodular controllability metrics
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
2019. 2019 18th European Control Conference (ECC), Naples, Italy, 2019-06. p. 42 – 49. DOI : 10.23919/ECC.2019.8796100.Using Uncertainty Data in Chance-Constrained Trajectory Planning
2019. 2019 18th European Control Conference (ECC), Naples, Italy, 2019-06. p. 2264 – 2269. DOI : 10.23919/ECC.2019.8795823.Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms
Aerospace Science and Technology. 2019. Vol. 89, p. 445 – 459. DOI : 10.1016/j.ast.2019.03.051.Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature
2019. The 22nd International Conference on Artificial Intelligence and Statistics, 2019-04-11. p. 2017 – 2027.Safe Convex Learning under Uncertain Constraints
2019. The 22nd International Conference on Artificial Intelligence and Statistics, 2019-04-11. p. 2106 – 2114.Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints
IEEE Transactions on Automatic Control. 2019. Vol. 64, num. 4, p. 1373 – 1388. DOI : 10.1109/TAC.2018.2849946.Learning Generalized Nash Equilibria in a Class of Convex Games
IEEE Transactions on Automatic Control. 2019. Vol. 64, num. 4, p. 1426 – 1439. DOI : 10.1109/TAC.2018.2841319.No-Regret Learning in Unknown Games with Correlated Payoffs
2019. Advances in Neural Information Processing System, Vancouver, 2019.2018
Robust Distributed Control Beyond Quadratic Invariance
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
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
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
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
2018