BIP! Finder - Developing Combat Behavior through Reinforcement Learning in Wargames and Simulations

2020 • Developing Combat Behavior through Reinforcement Learning in Wargames and Simulations

Authors: Chris Darken; Jonathan Boron

Venue: 2020 IEEE Conference on Games (CoG)

Type: Publication

Abstract: Progress in artificial intelligence (AI), particularly deep reinforcement learning (RL), has produced systems capable of performing at or above a professional-human level. This research explored the ability of RL to train AI agents to achieve optimal offensive behavior in small tactical engagements. Agents were trained in a simple, aggregate-level military constructive simulation with behaviors validated with the tactical principles of mass and economy of force. Results showed the combat model and RL algorithm applied had the largest impact on ... (read more)

Impact:

7.9764515E-9 3.6461147E-9 6 6

/ Attention: 0 17

Topics: Artificial intelligence Machine learning

DOI: 10.1109/cog47356.2020.9231609

External links: Crossref OpenAIRE

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