SBIR/STTR Research Award

Deep Reinforcement Learning Enabled Warfighter Assistant (DICE)

Award identifier 4ae61f2c4fcd4ec2f77b672a24ea2c31f16e9cc8c60b7c39e592ed0d56a1b900Awarding agency Department of Defense · Missile Defense Agency

Award amount

$149,994

Program and phase

STTR · Phase I

Award year

2023

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Missile Defense Agency
Recipient company
NEXCEPTA INC
Proposal award date
2022-11-23
Contract end date
2023-05-22
UEI
GKQPK2E8N4Z6
Solicitation number
22.B
Topic code
MDA22-T004

Research abstract

Deep reinforcement learning (DRL) provides strong capabilities to make decisions under uncertain and complicated scenarios. However, there is a lack of explainability of DRL when applied to assist warfighters in training and operational scenarios. To address this critical need, we propose to develop Deep Reinforcement Learning Enabled Warfighter Assistant (DICE). The key innovation of DICE is utilizing DRL to analyze rich battlefield data and make explainable and interpretable recommendations, along with their quantitative assessment with respective to the warfighter’s mission. Approved for Public Release | 22-MDA-11339 (13 Dec 22)

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

16 SBIR/STTR records share this UEI (2023–2025). Reported award amounts total $5,851,188. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.