16 citations · 35 across the 10 of their papers we have counts for
10 papers
Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks
Daniel Lopez-Martinez, Patrick Eschenfeldt, Sassan Ostvar +3
Opioids are the preferred medications for the treatment of pain in the intensive care unit. While undertreatment leads to unrelieved pain and poor clinical outcomes, excessive use…
Supermarket Queueing System in the Heavy Traffic Regime. Short Queue Dynamics
Patrick Eschenfeldt, David Gamarnik
We consider a queueing system with parallel queues operating according to the so-called "supermarket model" in which arriving customers join the shortest of randomly select…
A Message Passing Algorithm for the Problem of Path Packing in Graphs
Patrick Eschenfeldt, David Gamarnik
We consider the problem of packing node-disjoint directed paths in a directed graph. We consider a variant of this problem where each path starts within a fixed subset of root node…
Proactive Message Passing on Memory Factor Networks
Patrick Eschenfeldt, Dan Schmidt, Stark Draper +1
We introduce a new type of graphical model that we call a "memory factor network" (MFN). We show how to use MFNs to model the structure inherent in many types of data sets. We also…
Join the Shortest Queue with Many Servers. The Heavy Traffic Asymptotics
Patrick Eschenfeldt, David Gamarnik
We consider queueing systems with n parallel queues under a Join the Shortest Queue (JSQ) policy in the Halfin-Whitt heavy traffic regime. We use the martingale method to prove tha…
Analysis of an M/M/1 Queue Using Fixed Order of Search for Arrivals and Service
Patrick Eschenfeldt, Ben Gross, Nicholas Pippenger
We analyze an M/M/1 queue with a service discipline in which customers, upon arriving when the server is busy, search a sequence of stations for a vacant station at which to wait,…