Search Results - "Robbins, Matthew J."

Quantifying capability gaps via information relaxation and deep reinforcement learning in infinite-horizon Markov decision processes: A military air battle management application.

Authors: Liles IV, Joseph M. Robbins, Matthew J. Lunday, Brian J.

Source: Journal of the Operational Research Society. May2026, Vol. 77 Issue 5, p1322-1337. 16p.

Subjects: Markov processes, Air warfare, Stochastic control theory, Reinforcement learning, Mathematical optimization

Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies.

Authors: Jenkins, Phillip R. Robbins, Matthew J. Lunday, Brian J.

Source: INFORMS Journal on Computing. Winter2021, Vol. 33 Issue 1, p2-26. 25p.

Characterizing military medical evacuation dispatching and delivery policies via a self-exciting spatio-temporal Hawkes process model.

Authors: Frial, Virbon B. Jenkins, Phillip R. Robbins, Matthew J.

Source: Journal of the Operational Research Society; Jul2024, Vol. 75 Issue 7, p1239-1260, 22p

The Weighted Set Covering Game: A Vaccine Pricing Model for Pediatric Immunization.

Authors: Robbins, Matthew J. Jacobson, Sheldon H. Shanbhag, Uday V. et al.

Source: INFORMS Journal on Computing. Winter2014, Vol. 26 Issue 1, p183-198. 16p.

Approximate dynamic programming for the military inventory routing problem.

Authors: McKenna, Rebekah S. Robbins, Matthew J. Lunday, Brian J. et al.

Source: Annals of Operations Research; May2020, Vol. 288 Issue 1, p391-416, 26p

Examining military medical evacuation dispatching policies utilizing a Markov decision process model of a controlled queueing system.

Authors: Jenkins, Phillip R. Robbins, Matthew J. Lunday, Brian J.

Source: Annals of Operations Research; Dec2018, Vol. 271 Issue 2, p641-678, 38p

Improving defensive air battle management by solving a stochastic dynamic assignment problem via approximate dynamic programming.

Authors: Liles IV, Joseph M. Robbins, Matthew J. Lunday, Brian J.

Source: European Journal of Operational Research. Mar2023, Vol. 305 Issue 3, p1435-1449. 15p.

Subjects: Dynamic programming, Stochastic programming, Assignment problems (Programming), Cruise missiles, Drone aircraft, Markov processes, Air power (Military science)

Solving the military medical evacuation dispatching, preemptive rerouting, redeploying, and delivering problem via tree-based machine learning and approximate dynamic programming approaches.

Authors: Frial, Virbon B. Robbins, Matthew J. Jenkins, Phillip R.

Source: Expert Systems with Applications. Nov2025, Vol. 292, pN.PAG-N.PAG. 1p.

Subjects: Dynamic programming, Markov processes, Random forest algorithms, Transportation of patients, Routing algorithms, Ensemble learning, United States armed forces, Machine learning

Informing pediatric vaccine procurement policy via the pediatric formulary design, pricing, and production problem.

Authors: Lunday, Brian Robbins, Matthew J.

Source: IIE Transactions. Dec2016, Vol. 48 Issue 12, p1112-1126. 15p.

A Game Theoretic Model for the Optimal Location of Integrated Air Defense System Missile Batteries.

Authors: Han, Chan Y. Lunday, Brian J. Robbins, Matthew J.

Source: INFORMS Journal on Computing; Summer2016, Vol. 28 Issue 3, p405-416, 12p

Interface Evaluation for Open System Architectures Using Multiobjective Decision Analysis.

Authors: Colombi, John M. Robbins, Matthew J. Burger, Joshua A. et al.

Source: Military Operations Research. 2015, Vol. 20 Issue 2, p55-69. 15p.

The weighted intruder path covering problem.

Authors: Haywood, Adam B. Lunday, Brian J. Robbins, Matthew J. et al.

Source: European Journal of Operational Research; Feb2022, Vol. 297 Issue 1, p347-358, 12p

Approximate dynamic programming for the military aeromedical evacuation dispatching, preemption-rerouting, and redeployment problem.

Authors: Jenkins, Phillip R. Robbins, Matthew J. Lunday, Brian J.

Source: European Journal of Operational Research. Apr2021, Vol. 290 Issue 1, p132-143. 12p.

Subjects: Dynamic programming, Civilian evacuation, Vector valued functions, Reward (Psychology), Markov processes, Algorithms

Geographic Terms: Azerbaijan

Pricing strategies for combination pediatric vaccines and their impact on revenue: Pediarix® or Pentacel®?

Authors: Robbins, Matthew J. Jacobson, Sheldon H. Sewell, Edward C.

Source: Health Care Management Science. Mar2010, Vol. 13 Issue 1, p54-64. 11p. 6 Charts.

Simulating attacker and defender strategies within a dynamic game on network topology.

Authors: Nystrom, Jared K. Robbins, Matthew J. Deckro, Richard F. et al.

Source: Journal of Simulation; Dec2018, Vol. 12 Issue 4, p307-331, 25p

Collaboratively-developed vaccine pricing and stable profit sharing mechanisms.

Authors: Lunday, Brian J. Robbins, Matthew J.

Source: Omega. Apr2019, Vol. 84, p102-113. 12p.

Approximate dynamic programming for missile defense interceptor fire control.

Authors: Davis, Michael T. Robbins, Matthew J. Lunday, Brian J.

Source: European Journal of Operational Research. Jun2017, Vol. 259 Issue 3, p873-886. 14p.

Subjects: Dynamic programming, Approximation theory, Markov processes, Algorithms, Problem solving

Approximate dynamic programming for the dispatch of military medical evacuation assets.

Authors: Rettke, Aaron J. Robbins, Matthew J. Lunday, Brian J.

Source: European Journal of Operational Research. Nov2016, Vol. 254 Issue 3, p824-839. 16p.

Subjects: Military hospitals, Combat, Battlefields, War casualties, Therapeutics

A bilevel formulation of the pediatric vaccine pricing problem.

Authors: Robbins, Matthew J. Lunday, Brian J.

Source: European Journal of Operational Research. Jan2016, Vol. 248 Issue 2, p634-645. 12p.

Subjects: Vaccination of children, Vaccines, Vaccine manufacturing, Bilevel programming, Problem solving, Oligopolies, Prices

Utilizing reliability modeling to analyze United States Air Force officer retention.

Authors: Schofield, Jill A. Zens, Christine L. Hill, Raymond R. et al.

Source: Computers & Industrial Engineering; Mar2018, Vol. 117, p171-180, 10p