Heuristic Solution Approaches for Models of Sequential      Decisionmaking Under Uncertainty and Risk
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'Radhakisan Baheti', 'PO_EMAI': None, 'PO_PHON': None}
This research will investigate the usefulness of applying               heuristic search algorithms, an important class of artificial                   intelligence problem solving techniques, to solve various types of              Markov decision processes.  The aim of the research is to enhance the           tractability of these models of sequential decision making under                uncertainty.  It is anticipated that the research will produce needed           extensions of a wide class of heuristic search algorithms as well as            suggesting potential areas for integrating concepts in heuristic                search with concepts associated with stochastic control and the                 decision sciences.
{'FirstName': 'Chelsea', 'LastName': 'White', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chelsea White', 'EmailAddress': 'cwhite@isye.gatech.edu', 'NSF_ID': '000266625', 'StartDate': '09/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Virginia Main Campus', 'CityName': 'CHARLOTTESVILLE', 'ZipCode': '229034833', 'PhoneNumber': '4349244270', 'StreetAddress': '1001 EMMET ST N', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'VA05', 'ORG_UEI_NUM': 'JJG6HU8PA4S5', 'ORG_LGL_BUS_NAME': 'RECTOR & VISITORS OF THE UNIVERSITY OF VIRGINIA', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '1454', 'Text': 'SYSTEMS THEORY'}, {'Code': '1495', 'Text': 'COMPUTATIONAL ENGINEERING'}, {'Code': '1518', 'Text': 'CONTROL, NETWORKS, & COMP INTE'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8708183.xml'}