Lt. Col. Joseph Joe M. Liles, Assistant Professor of Statistics

• Bio Home
• Publications

Publications

1. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2022, April 12-14). Improving Air Battle Management Decision-Making with Artificial Intelligence [Conference presentation]. 2022 Air Force Operations Research Symposium.
2. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2022, October 16-19). Military Defensive Task Prioritization for Autonomous Escort of a Moving High-Value Asset [Conference presentation]. 2022 INFORMS Annual Meeting.
3. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2023). Improving Defensive Air Battle Management by Solving a Stochastic Dynamic Assignment Problem via Approximate Dynamic Programming. European Journal of Operational Research, 305(3), 1435-1449.
4. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2023, October 15-18). Similarity-Based Admission Control for Experience Replay in Continuous-Space Deep Reinforcement Learning: Solving an Air Battle Management Problem [Conference presentation]. 2023 INFORMS Annual Meeting.
5. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2023). Solving Nonstationary Markov Decision Processes via Contextual Decomposition: A Military Air Battle Management Application. Expert Systems with Applications, 233, 120949.
6. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2024, October 20-23). Quantifying Capability Gaps via Information Relaxation and Deep Reinforcement Learning in Infinite-Horizon Markov Decision Processes: A Military Air Battle Management Application [Conference presentation]. 2024 INFORMS Annual Meeting.
7. Liles IV, J.M., Robbins, M.J. and Lunday, B.J. (2025). Quantifying Capability Gaps via Information Relaxation and Deep Reinforcement Learning in Infinite-Horizon Markov Decision Processes: A Military Air Battle Management Application. Journal of the Operational Research Society, 1-16.