32 citations · 144 across the 61 of their papers we have counts for
75 papers
Deceptive Stochastic Patrolling via Markov Chain Lifting
Yohan John, Gilberto Diaz-Garcia, Jason R. Marden +1
In this paper we propose lifted Markov Chains (MCs) as a new paradigm for deriving patrol strategies for mobile agents on an environment represented as a graph. Lifted MCs operate…
Holding the Cold: Retention-Aware Inventory Control for Industrial Refrigeration
Lily Y. Chen, Vade Shah, Dan Walsh +1
Industrial refrigeration consumes substantial electricity, and compressors are the dominant energy consumers in these systems, making their operation central to improving energy ef…
On the Fragility of Efficiency: Uncoupled Learning with a Deviant
Vade Shah, Jason R. Marden
An important question in learning in games is whether players can learn to achieve efficient outcomes, those that maximize the sum of their utilities, without communication or coor…
Forming Alliances in the Fog of War: A General Lotto Perspective
Edik Hakobyan, Vade Shah, Jason R. Marden
Agents competing against a common opponent can often gain an edge by forming alliances, but deciding whether to do so is difficult when they lack precise knowledge about their oppo…
Learning Empirical Evidence Equilibria under Weak Environmental Coupling
Aya Hamed, Jason R. Marden, Jeff S. Shamma
Strategic multi-agent systems are fundamentally characterized by decentralization, uncertainty, and ambiguity. Agents operating under limited observations will often need to make d…
Incentive Design in Competitive Resource Allocation: Exploiting Valuation Asymmetry in Tullock Contests
Gilberto Diaz-Garcia, Keith Paarporn, Jason R. Marden
In competitive resource allocation, a central coordinator may seek to gain an advantage not by directly controlling subordinate agents, but by strategically manipulating the inform…
Beyond Arbitrary Allocations: Security Values in Constrained General Lotto Games
Keith Paarporn, Jason R. Marden
Resource allocation problems across multiple contests are ubiquitous in adversarial settings, from military operations to market competition. While Colonel Blotto and General Lotto…
Move Over, Prisoner's Dilemma: Colonel Blotto has arrived
Keith Paarporn, Jason R. Marden
The Prisoner's Dilemma, zero-sum games, LQR team problems, and differential games have shaped game theory in controls for decades, but the field's most pressing adversarial challen…
Alliance Mechanisms in General Lotto Games
Vade Shah, Jason R. Marden
How do different alliance mechanisms compare? In this work, we analyze various methods of forming an alliance in the Coalitional General Lotto game, a simple model of competitive r…
Playing with Peaks: A Game-Theoretic Comparison of Electricity Pricing Mechanisms
Vade Shah, Jason R. Marden
As electricity consumption grows, reducing peak demand--the maximum load on the grid--has become critical for preventing infrastructure strain and blackouts. Pricing mechanisms tha…
Cooling Under Convexity: An Inventory Control Perspective on Industrial Refrigeration
Vade Shah, Yohan John, Ethan Freifeld +2
Industrial refrigeration systems have substantial energy needs, but optimizing their operation remains challenging due to the tension between minimizing energy costs and meeting st…
Allocation of Heterogeneous Resources in General Lotto Games
Keith Paarporn, Adel Aghajan, Jason R. Marden
The allocation of resources plays an important role in the completion of system objectives and tasks, especially in the presence of strategic adversaries. Optimal allocation strate…
The Price of Simplicity: Analyzing Decoupled Policies for Multi-Location Inventory Control
Yohan John, Vade Shah, James A. Preiss +2
What is the performance cost of using simple, decoupled control policies in inherently coupled systems? Motivated by industrial refrigeration systems, where centralized compressors…
Trial-and-Error Learning in Decentralized Matching Markets
Vade Shah, Bryce L. Ferguson, Jason R. Marden
Two-sided matching markets, environments in which two disjoint groups of agents seek to partner with one another, arise in several contexts. In static, centralized markets where ag…
The Value of Compromising Strategic Intent in General Lotto Games
Gilberto Diaz-Garcia, Keith Paarporn, Jason R. Marden
Resource allocation in adversarial environments is a fundamental challenge across various domains, from corporate competition to military strategy. This article examines the impact…
Inefficient Alliance Formation in Coalitional Blotto Games
Vade Shah, Keith Paarporn, Jason R. Marden
When multiple agents are engaged in a network of conflict, some can advance their competitive positions by forming alliances with each other. However, the costs associated with est…
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 +1
Congestion games are popular models often used to study the system-level inefficiencies caused by selfish agents, typically measured by the price of anarchy. One may expect that al…
Learning Optimal Stable Matches in Decentralized Markets with Unknown Preferences
Vade Shah, Bryce L. Ferguson, Jason R. Marden
Matching algorithms have demonstrated great success in several practical applications, but they often require centralized coordination and plentiful information. In many modern onl…
Strategic Coalitions in Networked Contest Games
Gilberto Diaz-Garcia, Francesco Bullo, Jason R. Marden
In competitive resource allocation formulations multiple agents compete over different contests by committing their limited resources in them. For these settings, contest games off…
Best Response Sequences and Tradeoffs in Submodular Resource Allocation Games
Rohit Konda, Rahul Chandan, David Grimsman +1
Deriving competitive, distributed solutions to multi-agent problems is crucial for many developing application domains; Game theory has emerged as a useful framework to design such…
Efficient Industrial Refrigeration Scheduling with Peak Pricing
Rohit Konda, Jordan Prescott, Vikas Chandan +5
The widespread use of industrial refrigeration systems across various sectors contribute significantly to global energy consumption, highlighting substantial opportunities for ener…
Quality of Non-Convergent Best Response Processes in Multi-Agent Systems through Sink Equilibrium
Rohit Konda, Rahul Chandan, Jason Marden
Examining the behavior of multi-agent systems is vitally important to many emerging distributed applications - game theory has emerged as a powerful tool set in which to do so. The…
Utilizing Load Shifting for Optimal Compressor Sequencing in Industrial Refrigeration
Rohit Konda, Vikas Chandan, Jesse Crossno +4
The ubiquity and energy needs of industrial refrigeration has prompted several research studies investigating various control opportunities for reducing energy demand. This work fo…
Is Limited Information Enough? An Approximate Multi-agent Coverage Control in Non-Convex Discrete Environments
Tatsuya Iwase, Aurélie Beynier, Nicolas Bredeche +2
Conventional distributed approaches to coverage control may suffer from lack of convergence and poor performance, due to the fact that agents have limited information, especially i…