3 papers
cs.LG2025
A Hierarchical Hybrid AI Approach: Integrating Deep Reinforcement Learning and Scripted Agents in Combat Simulations
Scotty Black, Christian Darken
In the domain of combat simulations in support of wargaming, the development of intelligent agents has predominantly been characterized by rule-based, scripted methodologies with d…
eess.SY2025
Zero-sum turn games using Q-learning: finite computation with security guarantees
Sean Anderson, Chris Darken, João Hespanha
This paper addresses zero-sum ``turn'' games, in which only one player can make decisions at each state. We show that pure saddle-point state-feedback policies for turn games can b…
cs.LG2024
Localized Observation Abstraction Using Piecewise Linear Spatial Decay for Reinforcement Learning in Combat Simulations
Scotty Black, Christian Darken
In the domain of combat simulations, the training and deployment of deep reinforcement learning (RL) agents still face substantial challenges due to the dynamic and intricate natur…