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03/27/2023
Online Learning for Incentive-Based Demand Response
In this paper, we consider the problem of learning online to manage Dema...
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10/30/2022
Online Convex Optimization with Long Term Constraints for Predictable Sequences
In this paper, we investigate the framework of Online Convex Optimizatio...
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10/21/2022
Competing Bandits in Time Varying Matching Markets
We study the problem of online learning in two-sided non-stationary matc...
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08/18/2022
Meta-Learning Online Control for Linear Dynamical Systems
In this paper, we consider the problem of finding a meta-learning online...
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11/30/2021
Online Learning for Receding Horizon Control with Provable Regret Guarantees
We address the problem of learning to control an unknown linear dynamica...
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11/11/2021
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction
In autonomous vehicles (AVs), early warning systems rely on collision pr...
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09/17/2021
Graph Learning for Cognitive Digital Twins in Manufacturing Systems
Future manufacturing requires complex systems that connect simulation pl...
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06/08/2021
Online Algorithms for Network Robustness under Connectivity Constraints
In this paper, we present algorithms for designing networks that are rob...
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02/23/2021
Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems
If machine failures can be detected preemptively, then maintenance and r...
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10/21/2020
Meta-Learning Guarantees for Online Receding Horizon Control
In this paper we provide provable regret guarantees for an online meta-l...
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03/16/2020
Online Algorithms for Dynamic Matching Markets in Energy Distribution Systems
In this paper we address the problem of designing online algorithms for ...
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03/16/2020
Online Algorithms for Dynamic Matching Markets in Power Distribution Systems
In this paper we address the problem of designing online algorithms for ...
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02/19/2018
