Dr. Matthew J. Robbins, Professor of Operations Research

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  Research Interests Expertise
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  PhD Dissertations Advised MS Thesis Advised Courses

MS Thesis Advised

1. 2025 Garcia, N.W.  A Reinforcement Learning Approach for Maneuvering and Firing Decisions in SEAD Operations
2. 2025 Joseph, D.B.  Proximal Policy Optimization Applied to the Beyond Visual Range Air Combat Maneuvering Problem
3. 2025 Kartchner, M.J.  Reinforcement Learning for Aeromedical Evacuation in Nonstationary Combat Environments
4. 2025 Peranteau, S.N.  Artificial Intelligence in Wargaming: Using Reinforcement Learning to Employ Reconnaissance Assets to Reduce the Fog of War
5. 2025 Wilson, C.W.  Learning to Dogfight: Proximal Policy Optimization vs. Double Deep Q-Network for 2v2 Air Combat with Directed Energy Weapons in AFSIM
6. 2024 Combs, J.D.  Reinforcement Learning for Team Based Air Combat Maneuvering Decisions with Directed Energy Weaponry
7. 2024 MacLean, K.A.  A Reinforcement Learning Self-Play Approach for Informing Wargaming Analysis and Development
8. 2024 Pike, J.J.  A Reinforcement Learning Approach to the 2v2 Beyond Visual Range Air Combat Maneuvering Problem (winner, 2024 AFIT/EN Dean’s Award)
9. 2024 Rae, V.R.  A Random Forest-Based Q-Learning Algorithm: Toward Interpretable Artificial Intelligence
10. 2023  Palm, E.A.  An Approximate Dynamic Programming Approach for Solving an Air Combat Maneuvering Problem with Directed Energy Weapons
11. 2023  Taylor, C.A.  A Reinforcement Learning Approach to a Beyond Visual Range Air Combat Maneuvering Problem (winner, 2023 INFORMS-MAS Parnell Research Award)
12. 2022  Frakes, E.A.  An Approximate Dynamic Programming Approach for Firing Control of a Layered Missile Defense System
13. 2022  Gurnell, K.M.  Approximate Dynamic Programming for an Unmanned Aerial Vehicle Routing Problem with Obstacles and Stochastic Target Arrivals
14. 2022  Mogan, A.E.  Multiagent Routing Problem with Dynamic Target Arrivals Solved via Approximate Dynamic Programming (winner, 2022 AFIT/EN Dean’s Award)
15. 2022  Mottice, D.A.  Team Air Combat using Model-based Reinforcement Learning
16. 2021  Crumpacker, J.B.  Air Combat Maneuvering via Operations Research and Artificial Intelligence Methods (winner, 2021 AFIT Chancellor’s Award; winner, 2021 AFIT/EN Dean’s Award)
17. 2021  Goodwill, J.C.  The Autonomous Attack Aviation Problem
18. 2021  Liles, J.M.  Improving Air Battle Management Target Assignment Processes via Approximate Dynamic Programming
19. 2021  Song, C.K.  Resupply Operations of a Dispersed Infantry Brigade Combat Team using Approximate Dynamic Programming (winner, 2021 International Society of Logistics Jerome Peppers Award)
20. 2017  Jenkins, P.R.  Using Markov Decision Processes with Heterogeneous Queueing Systems to Examine Military MEDEVAC Dispatching Policies
21. 2017  Summers, D.S.  An Approximate Dynamic Programming Approach for Comparing Firing Solutions in a Networked Air Defense Environment
22. 2017  West, K.S.  Approximate Dynamic Programming for the United States Air Force Officer Manpower Planning Problem
23. 2016  Salgado, E.L.  Using Approximate Dynamic Programming to Solve the Stochastic Demand Military Inventory Routing Problem with Direct Delivery
24. 2016  Boardman, N.T.  Heterogeneous Air Defense Battery Location: a Game Theoretic Approach (co-advised with Brian J. Lunday) (winner, 2016 AFIT/EN Dean’s Award)
25. 2016  Bradshaw, A.E.  The United States Air Force Officer Manpower Planning Problem via Approximate Dynamic Programming
26. 2016  Davis, M.T.  Determination of Fire Control Policies via Approximate Dynamic Programming (co-advised with Brian J. Lunday)
27. 2015  Hoecherl, J.C.  Approximate Dynamic Programming Algorithms for United States Air Force Officer Sustainment
28. 2015  Han, C.Y.  A Game Theoretic Model for the Optimal Disposition of Integrated Air Defense System Assets (co-advised with Brian J. Lunday)
29. 2015  Nystrom, J.K.  A Dynamic Game on Network Topology for Counterinsurgency Applications
30. 2015  Rettke, A.J.  An Approximate Dynamic Programming Model for MEDEVAC Dispatching
31. 2015  McKenna, R.S.  Using Approximate Dynamic Programming to Solve the Military Inventory Routing Problem with Direct Delivery
32. 2014  Keneally, S.K.  A Markov Decision Process Model for the Optimal Dispatch of Military Medical Evacuation Assets
33. 2014  McCormack, I.M.  The Military Inventory Routing Problem with Direct Delivery
34. 2012  Findley, J.S.  A Decision Analysis Perspective on Multiple Response Robust Optimization
35. 2012  Kinkle, M.T.  A Multi-Stage Optimization Model for Air Force Reserve Officer Training Corps Officer Candidate Selection
36. 2012  Nunnally, B.A.  Using Multiattribute Utility Copulas in Support of UAV Search and Destroy Operations