SBIR/STTR Research Award

Sifter: Explainable AI for Improved Multi-Domain Operation Wargaming

Award identifier 0a49d9dd6433cbe9a5ac95659559fed9ec67b2ca7351036cdb55b17d6b341059Awarding agency Department of Defense · Army

Award amount

$167,485

Program and phase

STTR · Phase I

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
R-DEX SYSTEMS, INC.
Proposal award date
2022-09-11
Contract end date
2023-03-31
UEI
HD9RM38CWBM6
Solicitation number
22.B
Topic code
A22B-T016

Research abstract

R-DEX Systems (R-DEX) proposes to team with its strategic partner to develop Sifter, a unique and innovative technology for explainable AI (XAI). This proposed STTR leverages the team’s unique experience in deriving representations of reinforcement learning policies and the team’s extensive work in machine learning quality assurance (MLQA). The proposed Sifter will provide multiple levels of explanation including the higher-level strategy as well as the lower-level tactical behavior of the policy network. The sum total of this project will be a suite of tools that provides many different views of XAI. All of these views provide unique insights into the policy’s behavior, allowing human users to select the views that align with the aspects of explainability they wish to prioritize.

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

43 SBIR/STTR records share this UEI (2015–2025). Reported award amounts total $28,725,492. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, National Science Foundation, Department of Transportation

Agency intelligence

Department of Defense

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