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Dario Paccagnan
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2020 – today
- 2024
- [j16]Dario Paccagnan
, Martin Gairing
In Congestion Games, Taxes Achieve Optimal Approximation. Oper. Res. 72(3): 966-982 (2024) - [j15]Rahul Chandan, Dario Paccagnan, Jason R. Marden:
Methodologies for Quantifying and Optimizing the Price of Anarchy. IEEE Trans. Autom. Control. 69(11): 7742-7757 (2024) - [c20]Matthew Sheldon, Dario Paccagnan, Giuliano Casale:
Cournot Queueing Games with Applications to Mobility Systems. AAMAS 2024: 2462-2464 - [i25]Bryce L. Ferguson, Dario Paccagnan, Bary S. R. Pradelski, Jason R. Marden:
Bridging the Gap Between Central and Local Decision-Making: The Efficacy of Collaborative Equilibria in Altruistic Congestion Games. CoRR abs/2409.01525 (2024) - [i24]Kai Jungel, Dario Paccagnan, Axel Parmentier, Maximilian Schiffer:
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning. CoRR abs/2410.06656 (2024) - 2023
- [j14]Bryce L. Ferguson
The Cost of Informing Decision-Makers in Multi-Agent Maximum Coverage Problems With Random Resource Values. IEEE Control. Syst. Lett. 7: 2928-2933 (2023) - [j13]Devansh Jalota
Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements. INFORMS J. Comput. 35(3): 560-577 (2023) - [j12]Elizabeth Y. Huang
Assign and Appraise: Achieving Optimal Performance in Collaborative Teams. IEEE Trans. Autom. Control. 68(3): 1614-1627 (2023) - [c19]Keyang Zhang, Jose Javier Escribano Macias, Dario Paccagnan, Panagiotis Angeloudis:
Last-mile Collaboration: A Decentralized Mechanism with Performance Guarantees and its Implementation. AAMAS 2023: 2916-2918 - [c18]Bryce L. Ferguson, Dario Paccagnan, Bary S. R. Pradelski, Jason R. Marden:
Collaborative Coalitions in Multi-Agent Systems: Quantifying the Strong Price of Anarchy for Resource Allocation Games. CDC 2023: 3238-3243 - [c17]Aamal Abbas Hussain, Francesco Belardinelli, Dario Paccagnan:
The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics. ICML 2023: 14178-14202 - [c16]Dario Paccagnan, Marco C. Campi, Simone Garatti:
The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance. NeurIPS 2023 - [i23]Bryce L. Ferguson, Dario Paccagnan, Jason R. Marden:
The Cost of Informing Decision-Makers in Multi-Agent Maximum Coverage Problems with Random Resource Values. CoRR abs/2306.12603 (2023) - [i22]Bryce L. Ferguson, Dario Paccagnan, Bary S. R. Pradelski, Jason R. Marden:
Collaborative Coalitions in Multi-Agent Systems: Quantifying the Strong Price of Anarchy for Resource Allocation Games. CoRR abs/2308.08045 (2023) - [i21]Bryce L. Ferguson, Dario Paccagnan, Bary S. R. Pradelski, Jason R. Marden:
Collaborative Decision-Making and the k-Strong Price of Anarchy in Common Interest Games. CoRR abs/2311.01379 (2023) - [i20]Miriam Fischer, Martin Gairing, Dario Paccagnan:
Fair Interventions in Weighted Congestion Games. CoRR abs/2311.16760 (2023) - 2022
- [j11]Dario Paccagnan, Rahul Chandan
Utility and mechanism design in multi-agent systems: An overview. Annu. Rev. Control. 53: 315-328 (2022) - [j10]Dario Paccagnan
Utility Design for Distributed Resource Allocation - Part II: Applications to Submodular, Covering, and Supermodular Problems. IEEE Trans. Autom. Control. 67(2): 618-632 (2022) - [j9]Vinod Ramaswamy
Multiagent Maximum Coverage Problems: The Tradeoff Between Anarchy and Stability. IEEE Trans. Autom. Control. 67(4): 1698-1712 (2022) - [c15]Rahul Chandan, Dario Paccagnan, Jason R. Marden:
The Tension Between Anarchy and Stability in Congestion Games. ACC 2022: 1260-1265 - [c14]Keyang Zhang, Jose Javier Escribano Macias, Dario Paccagnan, Panagiotis Angeloudis:
The Competition and Inefficiency in Urban Road Last-Mile Delivery. AAMAS 2022: 1473-1481 - [c13]Yize Wang, Dario Paccagnan:
Data-Driven Robust Congestion Pricing. CDC 2022: 4437-4443 - 2021
- [j8]Mauro Salazar
Urgency-aware optimal routing in repeated games through artificial currencies. Eur. J. Control 62: 22-32 (2021) - [j7]Basilio Gentile
The Nash Equilibrium With Inertia in Population Games. IEEE Trans. Autom. Control. 66(12): 5742-5755 (2021) - [j6]Xiaoming Duan
Stochastic Strategies for Robotic Surveillance as Stackelberg Games. IEEE Trans. Control. Netw. Syst. 8(2): 769-780 (2021) - [j5]Dario Paccagnan, Rahul Chandan, Bryce L. Ferguson, Jason R. Marden:
Optimal Taxes in Atomic Congestion Games. ACM Trans. Economics and Comput. 9(3): 19:1-19:33 (2021) - [c12]Rahul Chandan, Dario Paccagnan, Jason R. Marden:
Tractable Mechanisms for Computing Near-Optimal Utility Functions. AAMAS 2021: 306-313 - [c11]Dario Paccagnan, Martin Gairing:
In Congestion Games, Taxes Achieve Optimal Approximation. EC 2021: 743-744 - [i19]Rahul Chandan, Dario Paccagnan, Jason R. Marden:
Tractable mechanisms for computing near-optimal utility functions. CoRR abs/2102.04542 (2021) - [i18]Dario Paccagnan, Martin Gairing:
In Congestion Games, Taxes Achieve Optimal Approximation. CoRR abs/2105.07480 (2021) - [i17]Rahul Chandan, Dario Paccagnan, Jason R. Marden:
The Anarchy-Stability Tradeoff in Congestion Games. CoRR abs/2107.06331 (2021) - [i16]Devansh Jalota, Dario Paccagnan, Maximilian Schiffer, Marco Pavone:
Online Traffic Routing: Deterministic Limits and Data-driven Enhancements. CoRR abs/2109.08706 (2021) - 2020
- [j4]Dario Paccagnan
Utility Design for Distributed Resource Allocation - Part I: Characterizing and Optimizing the Exact Price of Anarchy. IEEE Trans. Autom. Control. 65(11): 4616-4631 (2020) - [i15]Elizabeth Y. Huang, Dario Paccagnan, Wenjun Mei, Francesco Bullo:
Assign and Appraise: Achieving Optimal Performance in Collaborative Teams. CoRR abs/2008.09817 (2020) - [i14]Mauro Salazar, Dario Paccagnan, Andrea Agazzi, W. P. M. H. Heemels:
Urgency-aware Optimal Routing in Repeated Games through Artificial Currencies. CoRR abs/2011.11595 (2020)
2010 – 2019
- 2019
- [j3]Dario Paccagnan
Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints. IEEE Trans. Autom. Control. 64(4): 1373-1388 (2019) - [j2]Dario Paccagnan
The Importance of System-Level Information in Multiagent Systems Design: Cardinality and Covering Problems. IEEE Trans. Autom. Control. 64(8): 3253-3267 (2019) - [c10]Rahul Chandan, Dario Paccagnan, Jason R. Marden:
Optimal Price of Anarchy in Cost-Sharing Games. ACC 2019: 2277-2282 - [c9]Rahul Chandan, Dario Paccagnan, Jason R. Marden:
When Smoothness is Not Enough: Toward Exact Quantification and Optimization of the Price-of-Anarchy. CDC 2019: 4041-4046 - [c8]Dario Paccagnan, Marco C. Campi:
The Scenario Approach Meets Uncertain Game Theory and Variational Inequalities. CDC 2019: 6124-6129 - [c7]Vinod Ramaswamy, Dario Paccagnan, Jason R. Marden:
Multiagent Maximum Coverage Problems: The Trade-off Between Anarchy and Stability. ECC 2019: 1043-1048 - [c6]Rahul Chandan, Dario Paccagnan, Bryce L. Ferguson, Jason R. Marden:
Computing optimal taxes in atomic congestion games. NetEcon@SIGMETRICS 2019: 2:1 - [i13]Dario Paccagnan:
Distributed control and game design: From strategic agents to programmable machines. CoRR abs/1901.06287 (2019) - [i12]Rahul Chandan, Dario Paccagnan, Jason R. Marden:
Optimal Price of Anarchy in Cost-Sharing Games. CoRR abs/1903.06288 (2019) - [i11]Dario Paccagnan, Marco C. Campi:
The scenario approach meets uncertain variational inequalities and game theory. CoRR abs/1903.06762 (2019) - [i10]Rahul Chandan, Dario Paccagnan, Jason R. Marden:
When Smoothness is Not Enough: Toward Exact Quantification and Optimization of the Price-of-Anarchy. CoRR abs/1904.10915 (2019) - [i9]Basilio Gentile, Dario Paccagnan, Bolutife Ogunsula, John Lygeros:
The Nash Equilibrium with Inertia in Population Games. CoRR abs/1910.00220 (2019) - [i8]Rahul Chandan, Dario Paccagnan, Jason R. Marden:
Optimal mechanisms for distributed resource-allocation. CoRR abs/1911.07823 (2019) - [i7]Dario Paccagnan, Rahul Chandan, Bryce L. Ferguson, Jason R. Marden:
Incentivizing efficient use of shared infrastructure: Optimal tolls in congestion games. CoRR abs/1911.09806 (2019) - 2018
- [b1]Dario Paccagnan:
Distributed Control and Game Design: From Strategic Agents to Programmable Machines. ETH Zurich, Zürich, Switzerland, 2018 - [j1]Dario Paccagnan
On the Efficiency of Nash Equilibria in Aggregative Charging Games. IEEE Control. Syst. Lett. 2(4): 629-634 (2018) - [i6]Dario Paccagnan, Francesca Parise, John Lygeros:
On the Efficiency of Nash Equilibria in Charging Games. CoRR abs/1803.02583 (2018) - [i5]Dario Paccagnan, Rahul Chandan, Jason R. Marden:
Distributed resource allocation through utility design - Part I: optimizing the performance certificates via the price of anarchy. CoRR abs/1807.01333 (2018) - [i4]Dario Paccagnan, Jason R. Marden:
Distributed resource allocation through utility design - Part II: applications to submodular, supermodular and set covering problems. CoRR abs/1807.01343 (2018) - 2017
- [c5]Dario Paccagnan
The risks and rewards of conditioning noncooperative designs to additional information. Allerton 2017: 958-965 - [c4]Basilio Gentile, Dario Paccagnan
A novel concept of equilibrium over a network. CDC 2017: 3829-3834 - [i3]Basilio Gentile, Francesca Parise, Dario Paccagnan, Maryam Kamgarpour, John Lygeros:
Nash and Wardrop equilibria in aggregative games with coupling constraints. CoRR abs/1702.08789 (2017) - [i2]Vinod Ramaswamy, Dario Paccagnan, Jason R. Marden:
The Impact of Local Information on the Performance of Multiagent Systems. CoRR abs/1710.01409 (2017) - [i1]Dario Paccagnan, Jason R. Marden:
The Importance of System-Level Information in Multiagent Systems Design: Cardinality and Covering Problems. CoRR abs/1710.07460 (2017) - 2016
- [c3]Dario Paccagnan
Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints. CDC 2016: 6123-6128 - [c2]Dario Paccagnan
On aggregative and mean field games with applications to electricity markets. ECC 2016: 196-201 - 2015
- [c1]Dario Paccagnan
On the range of feasible power trajectories for a population of thermostatically controlled loads. CDC 2015: 5883-5888
Coauthor Index
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