Sequential Stochastic Decision Processes
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'Kristen M. Biggar, N-BioS', 'PO_EMAI': None, 'PO_PHON': None}
This research is concerned with two problems in sequential stochastic           decision processes:  the analysis of Markov Decision Processes with             Reward/Variability tradeoffs and the computation of solutions in                zero-sum stochastic games.  Markov Decision Processes constitute a              class of paradigms widely applicable to such areas as manufacturing             systems, discrete stochastic control, etc.  The Reward/Variability              tradeoff approach holds the possibility of enhancing the acceptance of          these paradigms by practitioners.  The solution of zero-sum stochastic          games is generally difficult; it is expected that the proposed approach         will yield efficient algorithms for solving such problems.
{'FirstName': None, 'LastName': 'DATA NOT AVAILABLE', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'DATA NOT AVAILABLE', 'EmailAddress': None, 'NSF_ID': '000296366', 'StartDate': '07/15/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'ZipCode': '212182608', 'PhoneNumber': '4439971898', 'StreetAddress': '3400 N CHARLES ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MD07', 'ORG_UEI_NUM': 'FTMTDMBR29C7', 'ORG_LGL_BUS_NAME': 'THE JOHNS HOPKINS UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
[{'Code': '1266', 'Text': 'APPLIED MATHEMATICS'}, {'Code': '1454', 'Text': 'SYSTEMS THEORY'}, {'Code': '9611', 'Text': None}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1985&All=true', 'xml': '8503440.xml'}