research
∙
09/15/2023
RoSSO: A High-Performance Python Package for Robotic Surveillance Strategy Optimization Using JAX
To enable the computation of effective randomized patrol routes for sing...
share
research
∙
08/28/2023
Reinforcement Strategies in General Lotto Games
Strategic decisions are often made over multiple periods of time, wherei...
research
∙
08/15/2023
Collaborative Coalitions in Multi-Agent Systems: Quantifying the Strong Price of Anarchy for Resource Allocation Games
The emergence of new communication technologies allows us to expand our ...
research
∙
06/21/2023
The Cost of Informing Decision-Makers in Multi-Agent Maximum Coverage Problems with Random Resource Values
The emergent behavior of a distributed system is conditioned by the info...
research
∙
06/10/2023
The Defense of Networked Targets in General Lotto games
Ensuring the security of networked systems is a significant problem, con...
research
∙
04/05/2023
Dynamic Adversarial Resource Allocation: the dDAB Game
This work proposes a dynamic and adversarial resource allocation problem...
research
∙
04/04/2023
Battlefield transfers in coalitional Blotto games
In this work, we consider the framework of coalitional Blotto games in w...
research
∙
01/06/2023
Trajectories for the Optimal Collection of Information
We study a scenario where an aircraft has multiple heterogeneous sensors...
research
∙
09/15/2022
Valid Utility Games with Information Sharing Constraints
The use of game theoretic methods for control in multiagent systems has ...
research
∙
09/13/2022
Strategic investments in multi-stage General Lotto games
In adversarial interactions, one is often required to make strategic dec...
research
∙
04/12/2022
Avoiding Unintended Consequences: How Incentives Aid Information Provisioning in Bayesian Congestion Games
When users lack specific knowledge of various system parameters, their u...
research
∙
04/08/2022
Path Defense in Dynamic Defender-Attacker Blotto Games (dDAB) with Limited Information
We consider a path guarding problem in dynamic Defender-Attacker Blotto ...
research
∙
10/23/2021
Strategically revealing intentions in General Lotto games
Strategic decision-making in uncertain and adversarial environments is c...
research
∙
07/13/2021
The Anarchy-Stability Tradeoff in Congestion Games
This work focuses on the design of incentive mechanisms in congestion ga...
research
∙
06/23/2021
A General Lotto game with asymmetric budget uncertainty
We consider General Lotto games of asymmetric information where one play...
research
∙
06/08/2021
Balancing Asymptotic and Transient Efficiency Guarantees in Set Covering Games
Game theoretic approaches have gained traction as a robust methodology f...
research
∙
06/08/2021
Mission Level Uncertainty in Multi-Agent Resource Allocation
In recent years, a significant research effort has been devoted to the d...
research
∙
03/30/2021
The Division of Assets in Multiagent Systems: A Case Study in Team Blotto Games
Multi-agent systems are designed to concurrently accomplish a diverse se...
research
∙
02/18/2021
The Effectiveness of Subsidies and Tolls in Congestion Games
Are rewards or penalties more effective in influencing user behavior? Th...
research
∙
02/08/2021
Tractable mechanisms for computing near-optimal utility functions
Large scale multiagent systems must rely on distributed decision making,...
research
∙
09/10/2020
The Cost of Denied Observation in Multiagent Submodular Optimization
A popular formalism for multiagent control applies tools from game theor...
research
∙
06/17/2020
Policy Evaluation and Seeking for Multi-Agent Reinforcement Learning via Best Response
This paper introduces two metrics (cycle-based and memory-based metrics)...
research
∙
04/07/2020
The Impact of Message Passing in Agent-Based Submodular Maximization
Submodular maximization problems are a relevant model set for many real-...
research
∙
03/12/2020
Stackelberg Equilibria for Two-Player Network Routing Games on Parallel Networks
We consider a two-player zero-sum network routing game in which a router...
research
∙
03/09/2020
Distributed Submodular Maximization with Parallel Execution
The submodular maximization problem is widely applicable in many enginee...
research
∙
02/26/2020
When showing your hand pays off: Announcing strategic intentions in Colonel Blotto games
In competitive adversarial environments, it is often advantageous to obf...
research
∙
11/22/2019
Can Taxes Improve Congestion on All Networks?
We ask if it is possible to positively influence social behavior with no...
research
∙
11/22/2019
Incentivizing efficient use of shared infrastructure: Optimal tolls in congestion games
Throughout modern society, human users interact with large-scale enginee...
research
∙
11/18/2019
Optimal mechanisms for distributed resource-allocation
As the complexity of real-world systems continues to increase, so does t...
research
∙
10/06/2019
Carrots or Sticks? The Effectiveness of Subsidies and Tolls in Congestion Games
Are rewards or penalties more effective in influencing user behavior? Th...
research
∙
09/08/2019
Characterizing the interplay between information and strength in Blotto games
In this paper, we investigate informational asymmetries in the Colonel B...
research
∙
09/05/2019
The Impact of Complex and Informed Adversarial Behavior in Graphical Coordination Games
How does system-level information impact the ability of an adversary to ...
research
∙
07/23/2019
Utilizing Information Optimally to Influence Distributed Network Routing
How can a system designer exploit system-level knowledge to derive incen...
research
∙
06/04/2019
A risk-security tradeoff in graphical coordination games
A system relying on the collective behavior of decision-makers can be vu...
research
∙
06/04/2019
Risk and security tradeoffs in graphical coordination games
A system whose operation relies on the collective behavior of a populati...
research
∙
04/24/2019
When Smoothness is Not Enough: Toward Exact Quantification and Optimization of the Price-of-Anarchy
Today's multiagent systems have grown too complex to rely on centralized...
research
∙
03/14/2019
Optimal Price of Anarchy in Cost-Sharing Games
The design of distributed algorithms is central to the study of multiage...
research
∙
07/25/2018
Value of Information in Greedy Submodular Maximization
The maximization of submodular functions an NP-Hard problem for certain ...
research
∙
07/03/2018
Distributed resource allocation through utility design - Part II: applications to submodular, supermodular and set covering problems
A fundamental component of the game theoretic approach to distributed co...
research
∙
07/03/2018
Distributed resource allocation through utility design - Part I: optimizing the performance certificates via the price of anarchy
Game theory has emerged as a novel approach for the coordination of mult...
research
∙
11/02/2017
Security Against Impersonation Attacks in Distributed Systems
In a multi-agent system, transitioning from a centralized to a distribut...
research
∙
10/23/2017
Are Multiagent Systems Resilient to Communication Failures?
A challenge in multiagent control systems is to ensure that they are app...
research
∙
10/20/2017
The Importance of System-Level Information in Multiagent Systems Design: Cardinality and Covering Problems
A fundamental challenge in multiagent systems is to design local control...
research
∙
10/03/2017
