Antoine Lesage-Landry

According to our database, Antoine Lesage-Landry authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-agent reinforcement learning for fast-timescale demand response of residential loads.

Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry

Mach. Learn., July, 2024

Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads.

Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry

Mach. Learn., May, 2024

Sliced-Wasserstein-based Anomaly Detection and Open Dataset for Localized Critical Peak Rebates.

Julien Pallage, Bertrand Scherrer, Salma Naccache, Christopher Belanger, Antoine Lesage-Landry

CoRR, 2024

Online Convex Optimization for On-Board Routing in High-Throughput Satellites.

Olivier Bélanger, Jean-Luc Lupien, Olfa Ben Yahia, Stéphane Martel, Antoine Lesage-Landry, Gunes Karabulut Kurt

CoRR, 2024

Wasserstein Distributionally Robust Shallow Convex Neural Networks.

Julien Pallage, Antoine Lesage-Landry

CoRR, 2024

Efficient Data-Driven MPC for Demand Response of Commercial Buildings.

Marie-Christine Paré, Vasken Dermardiros, Antoine Lesage-Landry

CoRR, 2024

Online dynamic submodular optimization.

Antoine Lesage-Landry, Julien Pallage

Autom., 2024

Tensor-Based Space Debris Detection for Satellite Mega-constellations.

Olivier Daoust, Hasan Nayir, Irfan Azam, Antoine Lesage-Landry, Gunes Karabulut Kurt

Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023

Approximated multi-agent fitted Q iteration.

Antoine Lesage-Landry, Duncan S. Callaway

Syst. Control. Lett., July, 2023

An Online Newton's Method for Time-Varying Linear Equality Constraints.

Jean-Luc Lupien, Antoine Lesage-Landry

IEEE Control. Syst. Lett., 2023

An Ex Post Condition for the Exactness of Optimal Power Flow Conic Relaxations.

Jean-Luc Lupien, Antoine Lesage-Landry

CoRR, 2023

Quality of Service-Constrained Online Routing in High Throughput Satellites.

Olivier Bélanger, Olfa Ben Yahia, Stéphane Martel, Antoine Lesage-Landry, Gunes Karabulut-Kurt

CoRR, 2023

Online Interior-point Methods for Time-varying Equality-constrained Optimization.

Jean-Luc Lupien, Iman Shames, Antoine Lesage-Landry

CoRR, 2023

2022

Optimally scheduling public safety power shutoffs.

Antoine Lesage-Landry, Félix Pellerin, Joshua A. Taylor, Duncan S. Callaway

CoRR, 2022

2021

Second-Order Online Nonconvex Optimization.

Antoine Lesage-Landry, Joshua A. Taylor, Iman Shames

IEEE Trans. Autom. Control., 2021

Online Convex Optimization With Binary Constraints.

Antoine Lesage-Landry, Joshua A. Taylor, Duncan S. Callaway

IEEE Trans. Autom. Control., 2021

Approximate Multi-Agent Fitted Q Iteration.

Antoine Lesage-Landry, Duncan S. Callaway

CoRR, 2021

2020

Online Convex Optimization of Multi-Energy Building-to-Grid Ancillary Services.

Antoine Lesage-Landry, Han Wang, Iman Shames, Pierluigi Mancarella, Joshua A. Taylor

IEEE Trans. Control. Syst. Technol., 2020

Estimating the Frequency Coupling Matrix From Network Measurements.

Antoine Lesage-Landry, Siyu Chen, Joshua A. Taylor

IEEE Trans. Control. Netw. Syst., 2020

A second-order cone model of transmission planning with alternating and direct current lines.

Antoine Lesage-Landry, Joshua A. Taylor

Eur. J. Oper. Res., 2020

Dynamic and Distributed Online Convex Optimization for Demand Response of Commercial Buildings.

Antoine Lesage-Landry, Duncan S. Callaway

IEEE Control. Syst. Lett., 2020

Predictive online convex optimization.

Antoine Lesage-Landry, Iman Shames, Joshua A. Taylor

Autom., 2020

2018

The Multi-Armed Bandit With Stochastic Plays.

Antoine Lesage-Landry, Joshua A. Taylor

IEEE Trans. Autom. Control., 2018

2017

Learning to Shift Thermostatically Controlled Loads.

Antoine Lesage-Landry, Joshua A. Taylor

Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Managing load contract restrictions with online learning.

Rodrigo Henriquez, Antoine Lesage-Landry, Joshua A. Taylor, Daniel E. Olivares, Matias Negrete-Pincetic

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017