OMB Individually Reported
Adversarial Policy Evolution via AI
Low riskExact public inventory row
Description
Develop and improve decision-making strategies by having them compete against adversaries, learning and evolving through repeated challenges.
Detailed example
Learning algorithm.
AI / analytics pattern
Reinforcement Learning: AI trained through trial and error using rewards and penalties to optimize decision-making policies.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Improved methods.
Controls / human review
ATO: No; PIA: Not published
Data needed
Mission engineering data.