2 citations · 6 across the 12 of their papers we have counts for
13 papers
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…
Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity
Runyu Zhang, Yuyang Zhang, Rohit Konda +3
This paper studies the finite-time horizon Markov games where the agents' dynamics are decoupled but the rewards can possibly be coupled across agents. The policy class is restrict…
Optimal Utility Design of Greedy Algorithms in Resource Allocation Games
Rohit Konda, Rahul Chandan, David Grimsman +1
Designing distributed algorithms for multi-agent problems is vital for many emerging application domains, and game-theoretic approaches are emerging as a useful paradigm to design…
Execution Order Matters in Greedy Algorithms with Limited Information
Rohit Konda, David Grimsman, Jason Marden
In this work, we study the multi-agent decision problem where agents try to coordinate to optimize a given system-level objective. While solving for the global optimal is intractab…
Model Free Barrier Functions via Implicit Evading Maneuvers
Eric Squires, Rohit Konda, Samuel Coogan +1
This paper demonstrates that the safety override arising from the use of a barrier function can in some cases be needlessly restrictive. In particular, we examine the case of fixed…
Mission Level Uncertainty in Multi-Agent Resource Allocation
Rohit Konda, Rahul Chandan, Jason R. Marden
In recent years, a significant research effort has been devoted to the design of distributed protocols for the control of multi-agent systems, as the scale and limited communicatio…
Balancing Asymptotic and Transient Efficiency Guarantees in Set Covering Games
Rohit Konda, Rahul Chandan, David Grimsman +1
Game theoretic approaches have gained traction as robust methodologies for designing distributed local algorithms that induce a desired overall system configuration in multi-agent…
Safety With Limited Range Sensing Constraints For Fixed Wing Aircraft
Eric Squires, Rohit Konda, Pietro Pierpaoli +2
In this paper we discuss how to use a barrier function that is subject to kinematic constraints and limited sensing in order to guarantee that fixed wing unmanned aerial vehicles (…
Characterizing Safety: Minimal Barrier Functions from Scalar Comparison Systems
Rohit Konda, Aaron D. Ames, Samuel Coogan
Verifying set invariance has classical solutions stemming from the seminal work by Nagumo, and defining sets via a smooth barrier function constraint inequality results in computab…
Composition of Safety Constraints For Fixed-Wing Collision Avoidance Amidst Limited Communications
Eric Squires, Pietro Pierpaoli, Rohit Konda +2
This paper considers how to ensure that a system of fixed wing Unmanned Aerial Vehicles (UAVs) can avoid collisions. To do so we develop a novel method for creating a barrier funct…