[HTML][HTML] Leveraging explainable AI for enhanced decision making in humanitarian logistics: An Adversarial CoevoluTION (ACTION) framework

S Nguyen, G O'Keefe, S Arisian, K Trentelman… - International journal of …, 2023 - Elsevier
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 …

AlphaRoute: large-scale coordinated route planning via Monte Carlo tree search

G Luo, Y Wang, H Zhang, Q Yuan, J Li - Proceedings of the AAAI …, 2023 - ojs.aaai.org
This paper proposes AlphaRoute, an AlphaGo inspired algorithm for coordinating large-
scale routes, built upon graph attention reinforcement learning and Monte Carlo Tree …

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 …

War Game between Two Matched Fleets with Goal Options and Tactical Optimization

ZX Jia, JF Kiang - AI, 2022 - mdpi.com
A war game between two matched fleets of equal size and capability is designed and
simulated in this work. Each fleet is composed of a carrier vessel (CV), a guided missile …

Mastering the Digital Art of War: Developing Intelligent Combat Simulation Agents for Wargaming Using Hierarchical Reinforcement Learning

S Black - arXiv preprint arXiv:2408.13333, 2024 - arxiv.org
In today's rapidly evolving military landscape, advancing artificial intelligence (AI) in support
of wargaming becomes essential. Despite reinforcement learning (RL) showing promise for …

A training model of wargaming based on imitation learning and deep reinforcement learning

K Wu, M Liu, P Cui, Y Zhang - Chinese Intelligent Systems Conference, 2022 - Springer
This paper proposes an intelligent game confrontation model for a wargame based on
imitation learning and deep reinforcement learning, given light of the supremacy of …

[PDF][PDF] 联合战役兵棋AI 设计难点问题研究

任航, 贺筱媛, 陶九阳 - 舰船电子工程, 2022 - jc.journal.cssc709.net
摘要联合战役兵棋是进行联合作战问题研究以及进行联合指挥训练的重要工具,
将智能化方法引入联合战役兵棋推演中有着十分现实的军事实践意义. 在梳理兵棋及兵棋智能化 …

The unknowable conflict: Tracing AI, recognition, and the death of the (human) loop

AC Dwyer - Artificial Intelligence and International Conflict in …, 2023 - taylorfrancis.com
In our contemporary moment, computation has unsettled international conflict through an
inherent, and growing, incommensurability expedited by 'artificial intelligence'(AI) systems …

[PDF][PDF] 2 The unknowable conflict

AC Dwyer - Artificial Intelligence and International Conflict in … - library.oapen.org
In exploring AI systems and unknowability in contemporary, and probable future, conflict, I
probe 'deep'reinforcement learning (RL). Deep RL can be summarised, for now, as an …

[引用][C] Training Intelligent Red Team Agents Via Reinforcement Deep Learning

MA Ballard - 2022