소장자료
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005 | 20230428134948▲ | ||
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020 | ▼a9798678124920▲ | ||
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040 | ▼aMiAaPQ▼cMiAaPQ▲ | ||
082 | 0 | ▼a1.5▲ | |
100 | 1 | ▼aPatra, Sunandita.▲ | |
245 | 1 | 0 | ▼aActing, Planning, and Learning Using Hierarchical Operational Models.▼h[electronic resource]▲ |
260 | ▼a[S.l.] :▼bUniversity of Maryland, College Park, ▼c2020▲ | ||
260 | 1 | ▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2020▲ | |
300 | ▼a253 p.▲ | ||
500 | ▼aSource: Dissertations Abstracts International, Volume: 82-05, Section: B.▲ | ||
500 | ▼aAdvisor: Nau, Dana.▲ | ||
502 | 1 | ▼aThesis (Ph.D.)--University of Maryland, College Park, 2020.▲ | |
506 | ▼aThis item must not be sold to any third party vendors.▲ | ||
590 | ▼aSchool code: 0117.▲ | ||
650 | 4 | ▼aArtificial intelligence.▲ | |
650 | 4 | ▼aComputer science.▲ | |
650 | 4 | ▼aSystems science.▲ | |
650 | 4 | ▼aInformation technology.▲ | |
650 | 4 | ▼aInstructional design.▲ | |
653 | ▼aActing and planning▲ | ||
653 | ▼aDynamic environments▲ | ||
653 | ▼aHierarchical operational models▲ | ||
653 | ▼aOnline planning▲ | ||
653 | ▼aSupervised learning▲ | ||
653 | ▼aDescriptive models▲ | ||
653 | ▼aState-transition system▲ | ||
653 | ▼aOperational models▲ | ||
653 | ▼aClosed-loop online decision-making▲ | ||
653 | ▼aReactive Acting Engine▲ | ||
653 | ▼aNetwork management architecture▲ | ||
690 | ▼a0800▲ | ||
690 | ▼a0984▲ | ||
690 | ▼a0489▲ | ||
690 | ▼a0447▲ | ||
690 | ▼a0790▲ | ||
710 | 2 | 0 | ▼aUniversity of Maryland, College Park. ▼bComputer Science.▲ |
773 | 0 | ▼tDissertations Abstracts International, ▼g82-05B.▲ | |
773 | ▼tDissertation Abstract International▲ | ||
790 | ▼a0117▲ | ||
791 | ▼aPh.D.▲ | ||
792 | ▼a2020▲ | ||
793 | ▼aEnglish▲ | ||
856 | 4 | 0 | ▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T15760181▲ |
Acting, Planning, and Learning Using Hierarchical Operational Models
자료유형
국외eBook
서명/책임사항
Acting, Planning, and Learning Using Hierarchical Operational Models. [electronic resource]
발행사항
[S.l.] : University of Maryland, College Park , 2020 Ann Arbor : ProQuest Dissertations & Theses , 2020
형태사항
253 p.
일반주기
Source: Dissertations Abstracts International, Volume: 82-05, Section: B.
Advisor: Nau, Dana.
Advisor: Nau, Dana.
학위논문주기
Thesis (Ph.D.)--University of Maryland, College Park, 2020.
주제
Artificial intelligence.
Computer science.
Systems science.
Information technology.
Instructional design.
Acting and planning
Dynamic environments
Hierarchical operational models
Online planning
Supervised learning
Descriptive models
State-transition system
Operational models
Closed-loop online decision-making
Reactive Acting Engine
Network management architecture
Computer science.
Systems science.
Information technology.
Instructional design.
Acting and planning
Dynamic environments
Hierarchical operational models
Online planning
Supervised learning
Descriptive models
State-transition system
Operational models
Closed-loop online decision-making
Reactive Acting Engine
Network management architecture
ISBN
9798678124920
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