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W519TC23C0030
Reinforcement Learning for Tactical AI Systems
Department of the Army · United States
This tender closed on Wednesday, December 31, 2025. Browse open opportunities
Time Left to Bid
Closed
ClosedDefence & SecurityFederal
Basic information
- Reference number
- W519TC23C0030
- Issuing organization
- Department of the Army · Find award history →
- Government level
- Federal
- Solicitation type
- Defence & Security
- Title
- Reinforcement Learning for Tactical AI Systems
- Source
- USASpending (Federal)
- Source ID
- usa-W519TC23C0030
Details
- Location
- United States
Summary
Research project investigating how reinforcement learning can improve AI systems for military command and control. Focuses on developing advanced computational methods to enhance decision-making in complex, volatile operational environments.
Description
REINFORCEMENT LEARNING FOR TACTICS AND OPERATIONS. RESEARCH TO INVESTIGATE AI SYSTEMS ABILITY TO IMPROVE MULTIDOMAIN COMMAND, CONTROL, COMMUNICATIONS, AND COMPUTERS, AND ENABLE DECISION DOMINANCE IN VOLATILE ENVIRONMENTS. Awarded to: CARNEGIE MELLON UNIVERSITY Agency: Department of Defense Sub-agency: Department of the Army Award type: DEFINITIVE CONTRACT
Dates
- Publication
- 2023/08/15 12:00:00 AM UTC
- Closing date
- 2025/12/31 12:00:00 AM UTC
Estimated value
$2.8M USD
Classification
Normalized category
Defence & Security