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20222026
most citedSurvival of the Fittest: Evolutionary Adaptation of Policies for Environmental Shifts

2 citations · 5 across the 5 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.MA2026

Agent-Based Evolutionary Dynamics for Mixed Autonomy Weaving Ramps

Sheryl Paul, Kexin Wang, Ruolin Li +1

Existing models of mixed-autonomy weaving ramps characterize how altruistic connected and automated vehicles (CAVs) can improve traffic efficiency at the population level, but prov…

cs.MA2026

ABM-SIRTEM: A Hybrid Agent-Based and Epidemiological Model for Pandemic Response

Sheryl Paul, Samuel Williams, Preetom K. Biswas +2

The COVID-19 pandemic has had profound impacts on global health, social structures, and economies. It disproportionately affected lower socioeconomic groups and those reliant on in…

eess.SY2026

Topology-Aware Congestion Pricing: Demand Robust Routing using the Forman-Ricci Curvature

Sheryl Paul, Samuel Williams, Kexin Wang +2

Congestion pricing is widely used to improve transportation network efficiency where individual decentralized route choices can lead to system-level inefficiencies. Pigouvian tolls…

cs.AI2026

Multi-Agent Planning with Spatio-Temporal and Topological Constraints using STL-GO

Sheryl Paul, Vidisha Kudalkar, Anand Balakrishnan +3

Multi-agent planning problems arise in a variety of engineering applications, such as multi-robot wildfire fighting and unmanned aerial inspection in factories. A particular challe…

cs.LO2026

An Algebraic Framework for Quantitative Semantics of Spatio-Temporal Logic with Graph Operators

Sheryl Paul, Vidisha Kudalkar, Anand Balakrishnan +3

Spatio-Temporal Logic with Graph Operators (STL-GO) extends Signal Temporal Logic (STL) to multi-agent systems via graph operators that count neighboring agents satisfying a proper…

cs.SI2026

On Online Control of Opinion Dynamics

Sheryl Paul, Leslie Cruz Juarez, Jyotirmoy V. Deshmukh +1

Networked multi-agent dynamical systems have been used to model how individual opinions evolve over time due to the opinions of other agents in the network. Particularly, such a mo…