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09/16/2023
The Impact of Recommendation Systems on Opinion Dynamics: Microscopic versus Macroscopic Effects
Recommendation systems are widely used in web services, such as social n...
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09/14/2023
Nash equilibrium seeking over digraphs with row-stochastic matrices and network-independent step-sizes
In this paper, we address the challenge of Nash equilibrium (NE) seeking...
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08/09/2023
Strategic Interactions in Multi-modal Mobility Systems: A Game-Theoretic Perspective
The evolution of existing transportation systems,mainly driven by urbani...
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04/24/2023
Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm
We study the problem of optimally routing plug-in electric and conventio...
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03/07/2023
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
We study optimal transport-based distributionally robust optimization pr...
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02/09/2023
Designing Fairness in Autonomous Peer-to-peer Energy Trading
Several autonomous energy management and peer-to-peer trading mechanisms...
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11/14/2022
Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control
We consider control of dynamical systems through the lens of competitive...
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11/14/2022
Stability and Robustness of Distributed Suboptimal Model Predictive Control
In distributed model predictive control (MPC), the control input at each...
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10/20/2022
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
Policy Optimization (PO) algorithms have been proven particularly suited...
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07/01/2022
A self-contained karma economy for the dynamic allocation of common resources
This paper presents karma mechanisms, a novel approach to the repeated a...
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06/27/2022
The Performance of Wasserstein Distributionally Robust M-Estimators in High Dimensions
Wasserstein distributionally robust optimization has recently emerged as...
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04/12/2022
Robust online joint state/input/parameter estimation of linear systems
This paper presents a method for jointly estimating the state, input, an...
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02/02/2022
Data-Driven Behaviour Estimation in Parametric Games
A central question in multi-agent strategic games deals with learning th...
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11/13/2021
Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games with Prioritized Metrics
Modern applications require robots to comply with multiple, often confli...
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10/27/2021
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
Learning how complex dynamical systems evolve over time is a key challen...
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07/09/2021
Bayesian Error-in-Variables Models for the Identification of Power Networks
The increasing integration of intermittent renewable generation, especia...
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06/22/2021
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
Differential equations in general and neural ODEs in particular are an e...
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04/21/2021
Game Theory to Study Interactions between Mobility Stakeholders
Increasing urbanization and exacerbation of sustainability goals threate...
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12/18/2020