Machine learning for simulated combat agents: learning to win

Ended Definitive Contract Awarded Last action

Contract number
N0001420C2011
Awardee
Awarding agency
Obligated
$2,262,565

Award facts

Opportunity
Contract value 100% obligated
$2,262,654.00 Current and potential, with all options
Completion date 100% complete
Current and potential, with all options
Set-aside
No set-aside
Competition
Full and Open Competition Basic Research
Pricing
Firm Fixed Price
Place of performance
Sterling, VA, USA

Award details come from SAM.gov/FPDS.

Transactions

Action Obligated Date
Funding Only Action P00005 $408,716
Supplemental Agreement for work within scope P00004 $424,328
Supplemental Agreement for work within scope P00003 $374,917
Exercise an Option P00002 $268,491
Funding Only Action P00001 $392,134
Original award $393,979

About this award

This definitive contract from the Department of the Navy's Secretary of the Navy Office of Naval Research is valued at $2,262,654 for machine learning applied research to develop simulated combat agents that learn to win. Awarded to Systems Engineering Inc., doing business as S E I, the contract will be performed in Sterling, Virginia from January 2020 through January 2023 under a firm fixed price arrangement. The requirement stems from the Office of Naval Research's 2018 broad agency announcement seeking proposals for machine learning and artificial intelligence techniques to improve expeditionary command and control and intelligence capabilities, including developing agents to aid in mission planning and execution. No portion of the requirement was set aside.

Quick answers

Who was awarded contract N0001420C2011?

N0001420C2011 was awarded to Systems Engineering Inc. by Office of Naval Research (Secretary of the Navy) on January 8, 2020.

How much is contract N0001420C2011 worth?

The government has obligated $2,262,565 on N0001420C2011. Its current value, with exercised options, is $2,262,654.

Was contract N0001420C2011 competed?

The extent of competition for N0001420C2011 was full and open competition.

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