Game-Theoretic AI Services for Robust Course of Action (COA) Generation and Wargaming
- Client
- Washington, DC
- RFP Number
- AI-1037
- Posted
- —
- 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 to generate and execute novel, optimized courses of action in complex, multi-domain, imperfect-information wargaming environments. The agency is trying to solve the problem of decision-making in highly complex scenarios by developing and demonstrating a mature, scalable, and robust AI engine. The project covers solutions founded in computational game theory that are capable of computing approximate Nash equilibria in large-scale, zero-sum, imperfect-information games. The scope of work requires the AI engine to use self-play within high-fidelity simulation environments to learn and refine strategies. Bidders must perform all work offsite. The agency restricts eligibility to onshore organizations based in the United States of America. The agency accepts digital proposal submissions via email or online. The agency is looking for budget proposals to determine the cost of the project. No specific evaluation criteria or key dates are provided in the source materials.
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