2 citations · 5 across the 5 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
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…
Monitoring Spatially Distributed Cyber-Physical Systems with Alternating Finite Automata
Anand Balakrishnan, Sheryl Paul, Simone Silvetti +2
Modern cyber-physical systems (CPS) can consist of various networked components and agents interacting and communicating with each other. In the context of spatially distributed CP…
Multi-agent Path Finding for Timed Tasks using Evolutionary Games
Sheryl Paul, Anand Balakrishnan, Xin Qin +1
Autonomous multi-agent systems such as hospital robots and package delivery drones often operate in highly uncertain environments and are expected to achieve complex temporal task…
Survival of the Fittest: Evolutionary Adaptation of Policies for Environmental Shifts
Sheryl Paul, Jyotirmoy V. Deshmukh
Reinforcement learning (RL) has been successfully applied to solve the problem of finding obstacle-free paths for autonomous agents operating in stochastic and uncertain environmen…
Multi Agent Path Finding using Evolutionary Game Theory
Sheryl Paul, Jyotirmoy V. Deshmukh
In this paper, we consider the problem of path finding for a set of homogeneous and autonomous agents navigating a previously unknown stochastic environment. In our problem setting…