8 citations · 9 across the 5 of their papers we have counts for
7 papers
Learning Agent Interactions from Density Evolution in 3D Regions With Obstacles
Amoolya Tirumalai, Christos N. Mavridis, John S. Baras
In this work, we study the inverse problem of identifying complex flocking dynamics in a domain cluttered with obstacles. We get inspiration from animal flocks moving in complex wa…
Approximate Dynamic Programming for a Mean-field Game of Traffic Flow: Existence and Uniqueness
Amoolya Tirumalai, John S. Baras
Highway vehicular traffic is an inherently multi-agent problem. Traffic jams can appear and disappear mysteriously. We develop a method for traffic flow control that is applied at…
Learning Swarm Interaction Dynamics from Density Evolution
Christos Mavridis, Amoolya Tirumalai, John Baras
We consider the problem of understanding the coordinated movements of biological or artificial swarms. In this regard, we propose a learning scheme to estimate the coordination law…
A Robust Mean-field Game of Boltzmann-Vlasov-like Traffic Flow
Amoolya Tirumalai, John S. Baras
Historically, traffic modelling approaches have taken either a particle-like (microscopic) approach, or a gas-like (meso- or macroscopic) approach. Until recently with the introduc…
Weak Solutions to an Euler Alignment System with Singular Interactions in a Bounded Domain
Amoolya Tirumalai, Christos Mavridis, John S. Baras
Euler alignment systems appear as hydrodynamic limits of interacting self-propelled particle systems such as the (generalized) Cucker-Smale model. In this work, we study weak solut…
Semi-linear Poisson-mediated Flocking in a Cucker-Smale Model
Christos N. Mavridis, Amoolya Tirumalai, John S. Baras +1
We propose a family of compactly supported parametric interaction functions in the general Cucker-Smale flocking dynamics such that the mean-field macroscopic system of mass and mo…