The Weighted Set Covering Game: A Vaccine Pricing Model for Pediatric Immunization. - Matthew J. Robbins; Sheldon H. Jacobson; Uday V. Shanbhag; Banafsheh Behzad (INFORMS J. Comput., 2014)

An Analytical Comparison of Social Network Measures. - Joshua D. Guzman; Richard F. Deckro; Matthew J. Robbins; James F. Morris; Nicholas A. Ballester (IEEE Trans. Comput. Soc. Syst., 2014)

Approximate dynamic programming algorithms for United States Air Force officer sustainment. - Joseph C. Hoecherl; Matthew J. Robbins; Raymond R. Hill; Darryl K. Ahner (WSC, 2016)

Approximate dynamic programming for the dispatch of military medical evacuation assets. - Aaron J. Rettke; Matthew J. Robbins; Brian J. Lunday (Eur. J. Oper. Res., 2016)

A bilevel formulation of the pediatric vaccine pricing problem. - Matthew J. Robbins; Brian J. Lunday (Eur. J. Oper. Res., 2016)

A Game Theoretic Model for the Optimal Location of Integrated Air Defense System Missile Batteries. - Chan Y. Han; Brian J. Lunday; Matthew J. Robbins (INFORMS J. Comput., 2016)

Approximate dynamic programming for missile defense interceptor fire control. - Michael T. Davis; Matthew J. Robbins; Brian J. Lunday (Eur. J. Oper. Res., 2017)

Heterogeneous surface-to-air missile defense battery location: a game theoretic approach. - Nicholas T. Boardman; Brian J. Lunday; Matthew J. Robbins (J. Heuristics, 2017)

Examining military medical evacuation dispatching policies utilizing a Markov decision process model of a controlled queueing system. - Phillip R. Jenkins; Matthew J. Robbins; Brian J. Lunday (Ann. Oper. Res., 2018)

Utilizing reliability modeling to analyze United States Air Force officer retention. - Jill A. Schofield; Christine L. Zens; Raymond R. Hill; Matthew J. Robbins (Comput. Ind. Eng., 2018)

Simulating attacker and defender strategies within a dynamic game on network topology. - Jared K. Nystrom; Matthew J. Robbins; Richard F. Deckro; James F. Morris (J. Simulation, 2018)

Optimal Policies for the Management of an Electric Vehicle Battery Swap Station. - Rebecca S. Widrick; Sarah G. Nurre; Matthew J. Robbins (Transp. Sci., 2018)

Approximate dynamic programming for the military inventory routing problem. - Rebekah S. McKenna; Matthew J. Robbins; Brian J. Lunday; Ian M. McCormack (Ann. Oper. Res., 2020)

An approximate dynamic programming approach for comparing firing policies in a networked air defense environment. - Daniel S. Summers; Matthew J. Robbins; Brian J. Lunday (Comput. Oper. Res., 2020)

Analyzing the Impact of Triage Classification Errors on Military Medical Evacuation Dispatching Policies. - Emily S. Graves; Phillip R. Jenkins; Matthew J. Robbins (WSC, 2021)

Approximate dynamic programming for the military aeromedical evacuation dispatching, preemption-rerouting, and redeployment problem. - Phillip R. Jenkins; Matthew J. Robbins; Brian J. Lunday (Eur. J. Oper. Res., 2021)

Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies. - Phillip R. Jenkins; Matthew J. Robbins; Brian J. Lunday (INFORMS J. Comput., 2021)

Partially autoregressive machine learning: Development and testing of methods to predict United States Air Force retention. - Joseph C. Hoecherl; Matthew J. Robbins; Brett J. Borghetti; Raymond R. Hill (Comput. Ind. Eng., 2022)

The weighted intruder path covering problem. - Adam B. Haywood; Brian J. Lunday; Matthew J. Robbins; Meir Pachter (Eur. J. Oper. Res., 2022)

An approximate dynamic programming approach for solving an air combat maneuvering problem. - James B. Crumpacker; Matthew J. Robbins; Phillip R. Jenkins (Expert Syst. Appl., 2022)

Improving defensive air battle management by solving a stochastic dynamic assignment problem via approximate dynamic programming. - Joseph M. Liles IV; Matthew J. Robbins; Brian J. Lunday (Eur. J. Oper. Res., 2023)

Solving the joint military medical evacuation problem via a random forest approximate dynamic programming approach. - Channel A. Rodriguez; Phillip R. Jenkins; Matthew J. Robbins (Expert Syst. Appl., 2023)

Solving nonstationary Markov decision processes via contextual decomposition: A military air battle management application. - Joseph M. Liles IV; Matthew J. Robbins; Brian J. Lunday (Expert Syst. Appl., 2023)

Characterizing military medical evacuation dispatching and delivery policies via a self-exciting spatio-temporal Hawkes process model. - Virbon B. Frial; Phillip R. Jenkins; Matthew J. Robbins (J. Oper. Res. Soc., 2024)

Solving the military medical evacuation dispatching, preemptive rerouting, redeploying, and delivering problem via tree-based machine learning and approximate dynamic programming approaches. - Virbon B. Frial; Matthew J. Robbins; Phillip R. Jenkins (Expert Syst. Appl., 2025)

Bayesian Graph Traversal. - William N. Caballero; Phillip R. Jenkins; David Banks; Matthew J. Robbins (CoRR, 2025)