4 papers
Deceptive Stochastic Patrolling via Markov Chain Lifting
Yohan John, Gilberto Diaz-Garcia, Jason R. Marden +1
In this paper we propose lifted Markov Chains (MCs) as a new paradigm for deriving patrol strategies for mobile agents on an environment represented as a graph. Lifted MCs operate…
Cooling Under Convexity: An Inventory Control Perspective on Industrial Refrigeration
Vade Shah, Yohan John, Ethan Freifeld +2
Industrial refrigeration systems have substantial energy needs, but optimizing their operation remains challenging due to the tension between minimizing energy costs and meeting st…
The Price of Simplicity: Analyzing Decoupled Policies for Multi-Location Inventory Control
Yohan John, Vade Shah, James A. Preiss +2
What is the performance cost of using simple, decoupled control policies in inherently coupled systems? Motivated by industrial refrigeration systems, where centralized compressors…
RoSSO: A High-Performance Python Package for Robotic Surveillance Strategy Optimization Using JAX
Yohan John, Connor Hughes, Gilberto Diaz-Garcia +2
To enable the computation of effective randomized patrol routes for single- or multi-robot teams, we present RoSSO, a Python package designed for solving Markov chain optimization…