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 …
consuming and intricate process. Addressing this challenge, this study intro-duces COA …
The future of collaborative human-artificial intelligence decision-making for mission planning
In an increasingly complex military operating environment, next generation wargaming
platforms can reduce risk, decrease operating costs, and improve overall outcomes. Novel …
platforms can reduce risk, decrease operating costs, and improve overall outcomes. Novel …
[HTML][HTML] Leveraging explainable AI for enhanced decision making in humanitarian logistics: An Adversarial CoevoluTION (ACTION) framework
This study examines the potential of AI-enabled wargames to enhance strategic decision-
making in humanitarian assistance and disaster relief (HADR). We introduce an Adversarial …
making in humanitarian assistance and disaster relief (HADR). We introduce an Adversarial …
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 …
games such as StarCraft and DoTA (Defense Of The Ancients)—there has been a surge in …
Modeling, simulation, and trade‐off analysis for multirobot, multioperator surveillance
As unmanned vehicles become smaller and more autonomous, it is becoming feasible to
use them in large groups with comparatively few human operators. Design and analysis of …
use them in large groups with comparatively few human operators. Design and analysis of …
Intelligent wargaming approach to increase course of action effectiveness in military operations
View Video Presentation: https://doi. org/10.2514/6.2023-2531. vid In this study, an
intelligent wargaming approach is proposed to evaluate the effectiveness of a military …
intelligent wargaming approach is proposed to evaluate the effectiveness of a military …
Overview of Applications of Artificial Intelligence (AI) in Diverse Fields
N Kuhar, P Kumria, S Rani - Application of Artificial Intelligence in …, 2024 - Springer
Artificial Intelligence is the ability of a system or a program to think and learn from
experience. AI applications have significantly evolved over the past few years and have …
experience. AI applications have significantly evolved over the past few years and have …
Utility of doctrine with multi-agent RL for military engagements
Artificial intelligence (AI), or more specifically deep learning approaches to AI, have led to
astonishing results in recent times, which makes them a prime candidate for guiding agent …
astonishing results in recent times, which makes them a prime candidate for guiding agent …
A Reinforcement Learning Approach to Military Simulations in Command: Modern Operations
This paper presents a Reinforcement Learning (RL) framework for Command: Modern
Operations (CMO), an advanced Real Time Strategy (RTS) game that simulates military …
Operations (CMO), an advanced Real Time Strategy (RTS) game that simulates military …
Improved Reinforcement Learning in Asymmetric Real-time Strategy Games via Strategy Diversity: A Case Study for Hunting-of-the-Plark Game
R Dasgupta, J Kliem - International Journal of …, 2023 - journal.seriousgamessociety.org
We investigate the use of artificial intelligence (AI)-based techniques in learning to play a 2-
player, real-time strategy (RTS) game called Hunting-of-the-Plark. The game is challenging …
player, real-time strategy (RTS) game called Hunting-of-the-Plark. The game is challenging …