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Generalized Policy Improvement Algorithms With Theoretically Supported Sample Reuse

IEEE Transactions on Automatic Control(2024)10.1109/tac.2024.3454011Source: DataRank Database

Generalized Policy Improvement Algorithms With Theoretically Supported Sample Reuse is a research paper published in IEEE Transactions on Automatic Control (2024). On theSindex it has a DataRank of 0. It has been cited 4 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

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Cite:

Linked data & code

Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (18 grants)Impact (FWCI 1.40)OA: greenTopics (25)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (3)

Ioannis Ch. Paschalidis ORCID,Christos G. Cassandras ORCID,James Queeney ORCID

Live enrichment

PubMed:40832367 PMC:PMC12360665 OpenAlex:https://openalex.org/W4402209187

NSF

Grant: ECCS-1931600

NSF

Grant: DMS-1664644

NSF

Grant: CNS-1645681

NSF

Grant: IIS-1914792

NSF

Grant: DEB-2433726

NSF

Grant: ECCS-2317079

NSF

Grant: CCF-2200052

ONR

Grant: N00014-19-1-2571

NIH

Grant: R01 GM135930

NIH

Grant: UL54 TR004130

DOE

Grant: DE-AR0001282

DOE

Grant: DE-EE0009696

Air Force Office of Scientific Research

Grant: FA9550-19-1-0158

NIGMS NIH HHS

Grant: R01 GM093147

NCATS NIH HHS

Grant: UL1 TR001430

National Science Foundation

Grant: 1931600

Decentralized optimal control of cooperating networked multi-agent systems

National Science Foundation

Grant: 1914792

SCH: INT: Distributed Analytics for Enhancing Fertility in Families

National Institutes of Health

Grant: 1R01GM135930-01

Optimizing and Learning Strategies for Protein Docking

FWCI

1.40

Citation Percentile

0.8%

Citation Trend

2025

2026

greenLicense: IEEE Copyright

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12360665/pdf/nihms-2052908.pdf

publisherhttps://ieeexplore.ieee.org/ielam/9/10857662/10663867-aam.pdf

publisherhttp://xplorestaging.ieee.org/ielx8/9/10857662/10663867.pdf?arnumber=10663867

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12360665/

Fields of Study

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms ResearchMachine Learning and Algorithms0202 electrical engineering, electronic engineering, information engineering02 engineering and technology01 natural sciences0105 earth and related environmental sciences

Keywords

ReuseComputer scienceAlgorithmSample (material)EngineeringReinforcement LearningSample ReusePolicy OptimizationPolicy ImprovementFOS: Computer and information sciencesComputer Science - Machine LearningArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceStatistics - Machine LearningSystems theory; controlMachine Learning (stat.ML)ArticleMachine Learning (cs.LG)

Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse

10.48550/arxiv.2206.13714arXiv