On the range of feasible power trajectories for a population of thermostatically controlled loads. - Dario Paccagnan; Maryam Kamgarpour; John Lygeros (CDC, 2015)

Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints. - Dario Paccagnan; Basilio Gentile; Francesca Parise; Maryam Kamgarpour; John Lygeros (CDC, 2016)

On aggregative and mean field games with applications to electricity markets. - Dario Paccagnan; Maryam Kamgarpour; John Lygeros (ECC, 2016)

The risks and rewards of conditioning noncooperative designs to additional information. - Dario Paccagnan; Jason R. Marden (Allerton, 2017)

A novel concept of equilibrium over a network. - Basilio Gentile; Dario Paccagnan; Bolutife Ogunsola; John Lygeros (CDC, 2017)

The Impact of Local Information on the Performance of Multiagent Systems. - Vinod Ramaswamy; Dario Paccagnan; Jason R. Marden (CoRR, 2017)

On the Efficiency of Nash Equilibria in Charging Games. - Dario Paccagnan; Francesca Parise; John Lygeros (CoRR, 2018)

Distributed resource allocation through utility design - Part I: optimizing the performance certificates via the price of anarchy. - Dario Paccagnan; Rahul Chandan; Jason R. Marden (CoRR, 2018)

Distributed resource allocation through utility design - Part II: applications to submodular, supermodular and set covering problems. - Dario Paccagnan; Jason R. Marden (CoRR, 2018)

On the Efficiency of Nash Equilibria in Aggregative Charging Games. - Dario Paccagnan; Francesca Parise; John Lygeros (IEEE Control. Syst. Lett., 2018)

Distributed Control and Game Design: From Strategic Agents to Programmable Machines. - Dario Paccagnan (2018)

Optimal Price of Anarchy in Cost-Sharing Games. - Rahul Chandan; Dario Paccagnan; Jason R. Marden (ACC, 2019)

When Smoothness is Not Enough: Toward Exact Quantification and Optimization of the Price-of-Anarchy. - Rahul Chandan; Dario Paccagnan; Jason R. Marden (CDC, 2019)

The Scenario Approach Meets Uncertain Game Theory and Variational Inequalities. - Dario Paccagnan; Marco C. Campi (CDC, 2019)

Multiagent Maximum Coverage Problems: The Trade-off Between Anarchy and Stability. - Vinod Ramaswamy; Dario Paccagnan; Jason R. Marden (ECC, 2019)

Computing optimal taxes in atomic congestion games. - Rahul Chandan; Dario Paccagnan; Bryce L. Ferguson; Jason R. Marden (NetEcon@SIGMETRICS, 2019)

Distributed control and game design: From strategic agents to programmable machines. - Dario Paccagnan (CoRR, 2019)

The scenario approach meets uncertain variational inequalities and game theory. - Dario Paccagnan; Marco C. Campi (CoRR, 2019)

Optimal mechanisms for distributed resource-allocation. - Rahul Chandan; Dario Paccagnan; Jason R. Marden (CoRR, 2019)

Incentivizing efficient use of shared infrastructure: Optimal tolls in congestion games. - Dario Paccagnan; Rahul Chandan; Bryce L. Ferguson; Jason R. Marden (CoRR, 2019)

Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints. - Dario Paccagnan; Basilio Gentile; Francesca Parise; Maryam Kamgarpour; John Lygeros (IEEE Trans. Autom. Control., 2019)

The Importance of System-Level Information in Multiagent Systems Design: Cardinality and Covering Problems. - Dario Paccagnan; Jason R. Marden (IEEE Trans. Autom. Control., 2019)

Utility Design for Distributed Resource Allocation - Part I: Characterizing and Optimizing the Exact Price of Anarchy. - Dario Paccagnan; Rahul Chandan; Jason R. Marden (IEEE Trans. Autom. Control., 2020)

Tractable Mechanisms for Computing Near-Optimal Utility Functions. - Rahul Chandan; Dario Paccagnan; Jason R. Marden (AAMAS, 2021)

The Anarchy-Stability Tradeoff in Congestion Games. - Rahul Chandan; Dario Paccagnan; Jason R. Marden (CoRR, 2021)

Online Traffic Routing: Deterministic Limits and Data-driven Enhancements. - Devansh Jalota; Dario Paccagnan; Maximilian Schiffer; Marco Pavone 001 (CoRR, 2021)

Urgency-aware optimal routing in repeated games through artificial currencies. - Mauro Salazar; Dario Paccagnan; Andrea Agazzi; W. P. Maurice H. Heemels (Eur. J. Control, 2021)

The Nash Equilibrium With Inertia in Population Games. - Basilio Gentile; Dario Paccagnan; Bolutife Ogunsula; John Lygeros (IEEE Trans. Autom. Control., 2021)

Stochastic Strategies for Robotic Surveillance as Stackelberg Games. - Xiaoming Duan; Dario Paccagnan; Francesco Bullo (IEEE Trans. Control. Netw. Syst., 2021)

Optimal Taxes in Atomic Congestion Games. - Dario Paccagnan; Rahul Chandan; Bryce L. Ferguson; Jason R. Marden (ACM Trans. Economics and Comput., 2021)

The Tension Between Anarchy and Stability in Congestion Games. - Rahul Chandan; Dario Paccagnan; Jason R. Marden (ACC, 2022)

The Competition and Inefficiency in Urban Road Last-Mile Delivery. - Keyang Zhang; Jose Javier Escribano Macias; Dario Paccagnan; Panagiotis Angeloudis (AAMAS, 2022)

Data-Driven Robust Congestion Pricing. - Yize Wang; Dario Paccagnan (CDC, 2022)

Utility and mechanism design in multi-agent systems: An overview. - Dario Paccagnan; Rahul Chandan; Jason R. Marden (Annu. Rev. Control., 2022)

Utility Design for Distributed Resource Allocation - Part II: Applications to Submodular, Covering, and Supermodular Problems. - Dario Paccagnan; Jason R. Marden (IEEE Trans. Autom. Control., 2022)

Multiagent Maximum Coverage Problems: The Tradeoff Between Anarchy and Stability. - Vinod Ramaswamy; Dario Paccagnan; Jason R. Marden (IEEE Trans. Autom. Control., 2022)

Last-mile Collaboration: A Decentralized Mechanism with Performance Guarantees and its Implementation. - Keyang Zhang; Jose Javier Escribano Macias; Dario Paccagnan; Panagiotis Angeloudis (AAMAS, 2023)

Collaborative Coalitions in Multi-Agent Systems: Quantifying the Strong Price of Anarchy for Resource Allocation Games. - Bryce L. Ferguson; Dario Paccagnan; Bary S. R. Pradelski; Jason R. Marden (CDC, 2023)

The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics. - Aamal Abbas Hussain; Francesco Belardinelli; Dario Paccagnan (ICML, 2023)

The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance. - Dario Paccagnan; Marco C. Campi; Simone Garatti (NeurIPS, 2023)

Collaborative Decision-Making and the k-Strong Price of Anarchy in Common Interest Games. - Bryce L. Ferguson; Dario Paccagnan; Bary S. R. Pradelski; Jason R. Marden (CoRR, 2023)

Fair Interventions in Weighted Congestion Games. - Miriam Fischer; Martin Gairing; Dario Paccagnan (CoRR, 2023)

The Cost of Informing Decision-Makers in Multi-Agent Maximum Coverage Problems With Random Resource Values. - Bryce L. Ferguson; Dario Paccagnan; Jason R. Marden (IEEE Control. Syst. Lett., 2023)

Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements. - Devansh Jalota; Dario Paccagnan; Maximilian Schiffer; Marco Pavone 001 (INFORMS J. Comput., 2023)

Assign and Appraise: Achieving Optimal Performance in Collaborative Teams. - Elizabeth Y. Huang; Dario Paccagnan; Wenjun Mei; Francesco Bullo (IEEE Trans. Autom. Control., 2023)

Cournot Queueing Games with Applications to Mobility Systems. - Matthew Sheldon; Dario Paccagnan; Giuliano Casale (AAMAS, 2024)

Bridging the Gap Between Central and Local Decision-Making: The Efficacy of Collaborative Equilibria in Altruistic Congestion Games. - Bryce L. Ferguson; Dario Paccagnan; Bary S. R. Pradelski; Jason R. Marden (CDC, 2024)

In Congestion Games, Taxes Achieve Optimal Approximation. - Dario Paccagnan; Martin Gairing (Oper. Res., 2024)

Methodologies for Quantifying and Optimizing the Price of Anarchy. - Rahul Chandan; Dario Paccagnan; Jason R. Marden (IEEE Trans. Autom. Control., 2024)

Pick-to-Learn and Self-Certified Gaussian Process Approximations. - Daniel Marks; Dario Paccagnan (AISTATS, 2025)

Optimal Competitive Ratio for Optimization Problems with Congestion Effects. - Miriam Fischer; Dario Paccagnan; Cosimo Vinci (APPROX/RANDOM, 2025)

WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning. - Kai Jungel; Dario Paccagnan; Axel Parmentier; Maximilian Schiffer (ICLR, 2025)

Model-Free False Data Injection Attack in Networked Control Systems: A Feedback Optimization Approach. - Xiaoyu Luo; Chongrong Fang; Jianping He 001; Chengcheng Zhao; Dario Paccagnan (IEEE Trans. Autom. Control., 2025)

Multi-Agent Q-Learning Dynamics in Random Networks: Convergence due to Exploration and Sparsity. - Aamal Abbas Hussain; Dan Leonte; Francesco Belardinelli; Raphaël Huser; Dario Paccagnan (CoRR, 2025)

Strategically Robust Game Theory via Optimal Transport. - Nicolas Lanzetti; Sylvain Fricker; Saverio Bolognani; Florian Dörfler; Dario Paccagnan (CoRR, 2025)

Competitive Analysis of Vehicle-Sharing Systems With Cournot Queueing Games. - Matthew Sheldon; Dario Paccagnan; Giuliano Casale (IEEE Trans. Intell. Transp. Syst., 2025)