Game-Theoretic AI Services for Robust Course of Action (COA) Generation and Wargaming
- Client
- Washington, DC
- RFP Number
- AI-1037
- Posted
- 5/22/2026
- Category
- Artificial Intelligence and Machine Learning
- Budget
- Looking for Proposals
- NAICS
- —
- Set-aside
- —
- Contact
- —
Description
AI GeneratedThe government authority located in Washington, DC, is seeking game-theoretic Artificial Intelligence services for robust course of action generation and wargaming. The agency needs to solve the challenge of generating and executing novel, optimized courses of action in complex, multi-domain, imperfect-information wargaming environments. To address this, the agency requires the development and demonstration of a mature, scalable, and robust game-theoretic Artificial Intelligence engine. The scope of work covers solutions founded in computational game theory that are capable of computing approximate Nash equilibria in large-scale, zero-sum, imperfect-information games. The desired Artificial Intelligence engine must use self-play within high-fidelity simulation environments to learn and refine strategies. All performance of the work will take place offsite. Eligibility rules restrict participation to onshore organizations based in the United States of America only. The agency is looking for proposals to determine the budget for this initiative. Bidders must submit their responses digitally via email or online, though the source does not specify evaluation criteria or key dates.
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