Coa-gpt: Generative pre-trained transformers for accelerated course of action development in military operations

VG Goecks, N Waytowich - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
The development of Courses of Action (COAs) in military operations is traditionally a time-
consuming and intricate process. Addressing this challenge, this study intro-duces COA …

The future of military medical evacuation: literature analysis focused on the potential adoption of emerging technologies and advanced decision-analysis techniques

S Biswas, H Turan, S Elsawah… - The Journal of …, 2023 - journals.sagepub.com
A fundamental component of any military medical support system is medical evacuation. The
main goal of evacuation is to reduce mortality among critically injured combat casualties. To …

On games and simulators as a platform for development of artificial intelligence for command and control

VG Goecks, N Waytowich, DE Asher… - The Journal of …, 2023 - journals.sagepub.com
Games and simulators can be a valuable platform to execute complex multi-agent,
multiplayer, imperfect information scenarios with significant parallels to military applications …

Adversarial attacks on reinforcement learning agents for command and control

A Dabholkar, JZ Hare, M Mittrick… - The Journal of …, 2024 - journals.sagepub.com
Given the recent impact of deep reinforcement learning in training agents to win complex
games such as StarCraft and DoTA (Defense Of The Ancients)—there has been a surge in …

[PDF][PDF] Scaling Reinforcement Learning Through Feudal Muti-Agent Hierarchy

PR Rood - Naval Postgraduate School, Monterey, CA, 2022 - core.ac.uk
Militaries conduct wargames for training, planning, and research purposes. Artificial
intelligence (AI) can improve military wargaming by reducing costs, speeding up the …

Developing Cross-Domain Host-Based Intrusion Detection

O Ajayi, A Gangopadhyay, RF Erbacher, C Bursat - Electronics, 2022 - mdpi.com
Digital transformation has continued to have a remarkable impact on industries, creating
new possibilities and improving the performance of existing ones. Recently, we have seen …

Scaling artificial intelligence for digital wargaming in support of decision-making

S Black, C Darken - arXiv preprint arXiv:2402.06075, 2024 - arxiv.org
In this unprecedented era of technology-driven transformation, it becomes more critical than
ever that we aggressively invest in developing robust artificial intelligence (AI) for …

[PDF][PDF] Trends in Machine Learning for Adaptive Automated Forces

A Starken, S Mondesire, A Wu, B Caulkins - Iterservice/Industry Training …, 2022 - cs.ucf.edu
Critical to Army readiness, simulation-based training offers a cost and time-effective way to
keep personnel wellversed in their roles, responsibilities, tactics, and operations. Simulation …

Learning to guide multiple heterogeneous actors from a single human demonstration via automatic curriculum learning in StarCraft II

N Waytowich, J Hare, VG Goecks… - … Learning for Multi …, 2022 - spiedigitallibrary.org
Traditionally, learning from human demonstrations via direct behavior cloning can lead to
high-performance policies given that the algorithm has access to large amounts of high …

Developing Cross-Domain Intrusion Detection Systems

O Ajayi - 2022 - search.proquest.com
Digital transformation has continued to make a remarkable impact on industries, creating
new possibilities and improving the performance of existing ones. Recently, we have seen …