Dario Paccagnan

Orcid: 0000-0002-8541-6966

According to our database1, Dario Paccagnan authored at least 45 papers between 2015 and 2023.

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Bibliography

2023
Assign and Appraise: Achieving Optimal Performance in Collaborative Teams.
IEEE Trans. Autom. Control., March, 2023

The Cost of Informing Decision-Makers in Multi-Agent Maximum Coverage Problems With Random Resource Values.
IEEE Control. Syst. Lett., 2023

Fair Interventions in Weighted Congestion Games.
CoRR, 2023

Collaborative Decision-Making and the k-Strong Price of Anarchy in Common Interest Games.
CoRR, 2023

The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics.
Proceedings of the International Conference on Machine Learning, 2023

Collaborative Coalitions in Multi-Agent Systems: Quantifying the Strong Price of Anarchy for Resource Allocation Games.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Last-mile Collaboration: A Decentralized Mechanism with Performance Guarantees and its Implementation.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Multiagent Maximum Coverage Problems: The Tradeoff Between Anarchy and Stability.
IEEE Trans. Autom. Control., 2022

Utility Design for Distributed Resource Allocation - Part II: Applications to Submodular, Covering, and Supermodular Problems.
IEEE Trans. Autom. Control., 2022

Utility and mechanism design in multi-agent systems: An overview.
Annu. Rev. Control., 2022

Data-Driven Robust Congestion Pricing.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

The Competition and Inefficiency in Urban Road Last-Mile Delivery.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

The Tension Between Anarchy and Stability in Congestion Games.
Proceedings of the American Control Conference, 2022

2021
Optimal Taxes in Atomic Congestion Games.
ACM Trans. Economics and Comput., 2021

Stochastic Strategies for Robotic Surveillance as Stackelberg Games.
IEEE Trans. Control. Netw. Syst., 2021

The Nash Equilibrium With Inertia in Population Games.
IEEE Trans. Autom. Control., 2021

Urgency-aware optimal routing in repeated games through artificial currencies.
Eur. J. Control, 2021

Online Traffic Routing: Deterministic Limits and Data-driven Enhancements.
CoRR, 2021

The Anarchy-Stability Tradeoff in Congestion Games.
CoRR, 2021

In Congestion Games, Taxes Achieve Optimal Approximation.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Tractable Mechanisms for Computing Near-Optimal Utility Functions.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Utility Design for Distributed Resource Allocation - Part I: Characterizing and Optimizing the Exact Price of Anarchy.
IEEE Trans. Autom. Control., 2020

2019
The Importance of System-Level Information in Multiagent Systems Design: Cardinality and Covering Problems.
IEEE Trans. Autom. Control., 2019

Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints.
IEEE Trans. Autom. Control., 2019

Incentivizing efficient use of shared infrastructure: Optimal tolls in congestion games.
CoRR, 2019

Optimal mechanisms for distributed resource-allocation.
CoRR, 2019

The scenario approach meets uncertain variational inequalities and game theory.
CoRR, 2019

Distributed control and game design: From strategic agents to programmable machines.
CoRR, 2019

Computing optimal taxes in atomic congestion games.
Proceedings of the 14th Workshop on the Economics of Networks, Systems and Computation, 2019

Multiagent Maximum Coverage Problems: The Trade-off Between Anarchy and Stability.
Proceedings of the 17th European Control Conference, 2019

The Scenario Approach Meets Uncertain Game Theory and Variational Inequalities.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

When Smoothness is Not Enough: Toward Exact Quantification and Optimization of the Price-of-Anarchy.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Optimal Price of Anarchy in Cost-Sharing Games.
Proceedings of the 2019 American Control Conference, 2019

2018
Distributed Control and Game Design: From Strategic Agents to Programmable Machines.
PhD thesis, 2018

On the Efficiency of Nash Equilibria in Aggregative Charging Games.
IEEE Control. Syst. Lett., 2018

Distributed resource allocation through utility design - Part II: applications to submodular, supermodular and set covering problems.
CoRR, 2018

Distributed resource allocation through utility design - Part I: optimizing the performance certificates via the price of anarchy.
CoRR, 2018

On the Efficiency of Nash Equilibria in Charging Games.
CoRR, 2018

2017
The Impact of Local Information on the Performance of Multiagent Systems.
CoRR, 2017

A novel concept of equilibrium over a network.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

The risks and rewards of conditioning noncooperative designs to additional information.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
On aggregative and mean field games with applications to electricity markets.
Proceedings of the 15th European Control Conference, 2016

Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
On the range of feasible power trajectories for a population of thermostatically controlled loads.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015


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