SBIR/STTR Research Award

Military Course of Action Generation and Contextualization using Deep Reinforcement Learning and Large Language Models

Award identifier 3239d74757ffc0da3f40c8f3d41bf3d411d3bb37aac087ad7b4c68eec046d8daAwarding agency Department of Defense · Navy

Award amount

$139,874

Program and phase

SBIR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
CENITH INNOVATIONS LLC
Proposal award date
2025-07-07
Contract end date
2026-01-07
UEI
ML3NGPZG8PS3
Solicitation number
25.1
Topic code
N251-065

Research abstract

Cenith Innovations proposes researching the feasibility of building an interactive wargaming and scenario-generation system powered by multi-modal, agentic AI to improve the Navy's complex wargaming and decision-making processes. Key capabilities will include an AI-driven scenario generator, Red/Blue ReAct agents using Deep Reinforcement Learning (DRL), and Convolutional Neural Networks (CNNs) for realistic environments. ÝThe system will test various scenarios, unit types, and doctrines.Ý

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

11 SBIR/STTR records share this UEI (2022–2025). Reported award amounts total $9,141,538. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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