Project Grant 2432545

Award Date 10/1/24
Completion Date 9/30/27
Dollars Obligated $275K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Pittsburgh, PA 15213, USA
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This National Science Foundation (NSF) Project Grant award, provided under the NSF's Engineering program (CFDA 47.041), aims to develop new algorithms and theory for weakly coupled Markov decision processes (WCMDPs). WCMDPs are complex systems composed of interconnected smaller decision-making models and are applicable in fields such as job scheduling, resource allocation, and supply chain management. The $275,000 award to the University of Wisconsin-Madison will fund research to establish a...
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This National Science Foundation (NSF) Project Grant award under CFDA 47.041 - Engineering provides $275,000 in funding to Carnegie Mellon University to conduct collaborative research into new algorithms and theory for weakly coupled Markov decision processes (WCMDPs). The research aims to develop techniques to "decouple" large WCMDPs into smaller parts and then "reassemble" them properly, drawing on a novel "one-to-many" decision-making approach. This work seeks to advance the fundamental understanding and application of WCMDPs, which are used to model complex systems in domains like job scheduling, resource allocation, and supply chain management. The award period runs from October 1, 2024 to September 30, 2027. No sub-awards are planned under this grant.

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