4 citations · 4 across the 22 of their papers we have counts for
24 papers
Strategically Robust Game-Theoretic Multi-Agent Trajectory Optimization
Victor L. Qin, Nicolas Lanzetti, Saverio Bolognani +1
Aviation authorities worldwide expect Advanced Air Mobility (AAM) traffic management to be decentralized among service providers, requiring AAM flights to autonomously plan traject…
Bi-ZOL: Bilevel Zeroth-Order Learning with Nonsmooth Responses
Zhisen Jiang, Saverio Bolognani
This paper studies lower-level-constrained bilevel optimization in a response-oracle setting, where lower-level model information is unavailable and the induced response mapping is…
Chess on Ice: Curling Tactical Decision-Making via Backward Induction and Deep Reinforcement Learning
Patrick Oberlin, Matteo Cederle, Aren Karapetyan +3
Curling is often referred to as "Chess on Ice", owing to the tactical complexity of its decision-making process. Yet unlike chess, curling remains largely underexplored from a mach…
A Coalitional Stable and Fair Reward Allocation for Dynamic Virtual Power Plants
Carl von Holly-Ponientzietz, Saverio Bolognani, Florian Dörfler +1
This paper establishes crucial cooperation criteria for the operation of Dynamic Virtual Power Plants (DVPPs). We propose a control design and reward allocation mechanism to enable…
Welfarist Control Design -- How to fulfill the societal mandate in multi-agent control?
Sophie Hall, Kai Zhang, Ilia Shilov +2
At the core of most socio-technical systems lies a scarce resource that is allocated among agents: highway lanes, public transit, road space, water rights, energy access, grid capa…
Invariant Price of Anarchy and Multiplicative Smoothness
Ilia Shilov, Heinrich H. Nax, Saverio Bolognani
The Price of Anarchy (PoA) is a popular measure of the costs of decentralization in terms of efficiency losses. Almost all PoA analyses operate within a framework assuming both Car…
Incentive-Based Load Curtailment with Limited Information: A Bilevel Zeroth-Order Learning Approach
Zhisen Jiang, Florian Dörfler, Saverio Bolognani
Incentive-based load curtailment unlocks critical demand-side flexibility but is hindered by the limited knowledge of private user parameters and the inherent nonsmoothness of resp…
Towards Model-Free Learning in Dynamic Population Games: An Application to Karma Economies
Matteo Cederle, Saverio Bolognani, Gian Antonio Susto
Dynamic Population Games (DPGs) provide a tractable framework for modeling strategic interactions in large populations of self-interested agents, and have been successfully applied…
A Welfarist Perspective on Fair Generation Curtailment
Jonas G. Matt, Ilia Shilov, Saverio Bolognani
This paper presents a welfarist approach to fair active power curtailment in distribution grids with distributed photovoltaics. We address the lack of consistent axiomatic foundati…
Strategically Robust Aggregative Games
Andreas Feik, Nicolas Lanzetti, Saverio Bolognani +2
In many multiagent settings, such as electric vehicle charging and traffic routing, agents must make decisions in the face of uncertain behavior exhibited by others. Often, this un…
Optimal Functional Incentives for Control: The Linear-Quadratic Case with Bilinear Incentives
Jonas G. Matt, Saverio Bolognani, Florian Dörfler
We study the design of functional incentive mechanisms for dynamical systems, in which a leader designs a fixed incentive function to motivate a self-interested follower to actuate…
Invariant Price of Anarchy: a Metric for Welfarist Traffic Control
Ilia Shilov, Mingjia He, Heinrich H. Nax +3
The Price of Anarchy (PoA) is a standard metric for quantifying inefficiency in socio-technical systems, widely used to guide policies like traffic tolling. Conventional PoA analys…
Towards Fair and Efficient allocation of Mobility-on-Demand resources through a Karma Economy
Matteo Cederle, Saverio Bolognani, Gian Antonio Susto
Mobility-on-demand systems like ride-hailing have transformed urban transportation, but they have also exacerbated socio-economic inequalities in access to these services, also due…
Hedging against Black Swans in Day-Ahead Energy Markets
Liviu Aolaritei, Boubacar Bangoura, Saverio Bolognani +2
Renewable generators must commit to day-ahead market bids despite uncertainty in both production and real-time prices. While forecasts provide valuable guidance, rare and unpredict…
Voltage Support Procurement in Transmission Grids: Incentive Design via Online Bilevel Games
Zhisen Jiang, Saverio Bolognani, Giuseppe Belgioioso
The integration of distributed energy resources into transmission grid operations presents a complex challenge, particularly in the context of reactive power procurement for voltag…
Strategically Robust Game Theory via Optimal Transport
Nicolas Lanzetti, Sylvain Fricker, Saverio Bolognani +2
In many game-theoretic settings, agents are challenged with taking decisions against the uncertain behavior exhibited by others. Often, this uncertainty arises from multiple source…
A Vision for Trustworthy, Fair, and Efficient Socio-Technical Control using Karma Economies
Ezzat Elokda, Andrea Censi, Emilio Frazzoli +2
Control systems will play a pivotal role in addressing societal-scale challenges as they drive the development of sustainable future smart cities. At the heart of these challenges…
'Dark pressure': A metric that yields distance-independent circular orbital speed in deep space with 'tunable' total mass
C. Mallary
In general relativity, the tangential speed of objects in stable circular orbits is not uniquely described by the orbital radius and the mass present inside the orbital radius. Thi…
PRIME: Fast Primal-Dual Feedback Optimization for Markets with Application to Optimal Power Flow
Nicholas Julian Behr, Mattia Bianchi, Keith Moffat +2
Online Feedback Optimization (OFO) controllers iteratively drive a plant to an optimal operating point that satisfies input and output constraints, relying solely on the input-outp…
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
Zhiyu He, Saverio Bolognani, Florian Dörfler +1
Distribution shifts have long been regarded as troublesome external forces that a decision-maker should either counteract or conform to. An intriguing feedback phenomenon termed de…
Robust Feedback Optimization with Model Uncertainty: A Regularization Approach
Winnie Chan, Zhiyu He, Keith Moffat +3
Feedback optimization optimizes the steady state of a dynamical system by implementing optimization iterations in closed loop with the plant. It relies on online measurements and l…
Welfare and Cost Aggregation for Multi-Agent Control: When to Choose Which Social Cost Function, and Why?
Ilia Shilov, Ezzat Elokda, Sophie Hall +2
Many multi-agent socio-technical systems rely on aggregating heterogeneous agents' costs into a social cost function (SCF) to coordinate resource allocation in domains like energy…
To Travel Quickly or to Park Conveniently: Coupled Resource Allocations with Multi-Karma Economies
Ezzat Elokda, Andrea Censi, Saverio Bolognani +2
The large-scale allocation of public resources (e.g., transportation, energy) is among the core challenges of future Cyber-Physical-Human Systems (CPHS). In order to guarantee that…
Dynamic Population Games: A Tractable Intersection of Mean-Field Games and Population Games
Ezzat Elokda, Saverio Bolognani, Andrea Censi +2
In many real-world large-scale decision problems, self-interested agents have individual dynamics and optimize their own long-term payoffs. Important examples include the competiti…