18 citations · 50 across the 9 of their papers we have counts for
10 papers
Cooperative Bidirectional Mixed-Traffic Overtaking
Faizan M. Tariq, Nilesh Suriyarachchi, Christos Mavridis +1
Safe overtaking, especially in a bidirectional mixed-traffic setting, remains a key challenge for Connected Autonomous Vehicles (CAVs). The presence of human-driven vehicles (HDVs)…
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…
Risk-Sensitive Reinforcement Learning with Exponential Criteria
Erfaun Noorani, Christos Mavridis, John Baras
While reinforcement learning has shown experimental success in a number of applications, it is known to be sensitive to noise and perturbations in the parameters of the system, lea…
Multi-Resolution Online Deterministic Annealing: A Hierarchical and Progressive Learning Architecture
Christos Mavridis, John Baras
Hierarchical learning algorithms that gradually approximate a solution to a data-driven optimization problem are essential to decision-making systems, especially under limitations…
Annealing Optimization for Progressive Learning with Stochastic Approximation
Christos Mavridis, John Baras
In this work, we introduce a learning model designed to meet the needs of applications in which computational resources are limited, and robustness and interpretability are priorit…
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…
Towards the One Learning Algorithm Hypothesis: A System-theoretic Approach
Christos Mavridis, John Baras
The existence of a universal learning architecture in human cognition is a widely spread conjecture supported by experimental findings from neuroscience. While no low-level impleme…
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…
Online Deterministic Annealing for Classification and Clustering
Christos Mavridis, John Baras
Inherent in virtually every iterative machine learning algorithm is the problem of hyper-parameter tuning, which includes three major design parameters: (a) the complexity of the m…