← Leaderboards
Christopher Amato
University Of New Hampshire
$2,949,208
Attributed
$4,172,689
Total exposure
10
Grants
8
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $750K · FY2015–25$1M$750K$500K$250K$0
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'21
'22
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'24
'25
Funding mix
By agency
NSF$4,172,689 · 10
By mechanism
—$4,172,689 · 10
Top collaborators
- Stavros Tripakis2 shared
- Robert Platt1 shared
- Stacy Marsella1 shared
Grant awards (10)
Collaborative Research: FMitF: Track I: Specification-Guided Multiagent Reinforcement Learning$450,000
· FY2025 · CSE
RI: SMALL: Improved Learning in Partially Observable Reinforcement Learning with Attention-Based Models$600,000
· FY2024 · CSE · contact PI
FMitF: Track I: Safe Multi-Agent Reinforcement Learning with Shielding$749,963
· FY2023 · CSE
Career: IIS: RI: Improving Multi-Agent Reinforcement Learning for Cooperative, Partially Observable Settings$557,998
· FY2021 · CSE · contact PI
NRI: FND: Coordinating and Incorporating Trust in Teams of Humans and Robots with Multi-Robot Reinforcement Learning$646,999
· FY2020 · CSE · contact PI
Doctoral Mentoring Consortium at the Nineteenth International Conference on Autonomous Agents and Multi-Agent Systems$16,000
· FY2020 · CSE · contact PI
NSF-BSF: RI: Small: Decentralized Active Goal Recognition$469,987
· FY2018 · CSE · contact PI
NRI: FND: COLLAB: Coordinating Human-Robot Teams in Uncertain Environments$382,939
· FY2017 · CSE · contact PI
CRII: RI: Planning and learning with macro-actions in cooperative multiagent systems$124,005
· FY2016 · CSE · contact PI
CRII: RI: Planning and learning with macro-actions in cooperative multiagent systems$174,798
· FY2015 · CSE · contact PI