Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Curriculum Is More Influential Than Haptic Information During Reinforcement Learning of Object Manipulation Against Gravity

arXiv (Cornell University)(2024)10.48550/arxiv.2407.09986Source: DataRank Database

Curriculum Is More Influential Than Haptic Information During Reinforcement Learning of Object Manipulation Against Gravity is a research paper published in arXiv (Cornell University) (2024). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Free full text

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: greenTopics (25)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (6)

Romina Mir ORCID,Ali Marjaninejad ORCID,Andrew Erwin ORCID,Michael Wehner ORCID,Francisco J Valero-Cueva

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4400703103

National Institutes of Health

Grant: 1R21NS113613-01A1

Functional reorganization of reticulospinal drive in hemiparetic stroke

National Science Foundation

Grant: 2113096

CRCNS: Transcortical and spinal circuit contributions to hand shaping in primates - Real-time neuromorphic implementation for robotic demonstration

greenLicense: arXiv Non-Exclusive Distribution

repositoryhttps://arxiv.org/pdf/2407.09986

repositoryhttp://arxiv.org/abs/2407.09986

repositoryhttps://doi.org/10.48550/arxiv.2407.09986

https://dx.doi.org/10.48550/arxiv.2407.09986

https://doi.org/10.48550/arXiv.2407.09986

Fields of Study

Teleoperation and Haptic SystemsRobot Manipulation and LearningRobotics (cs.RO)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)FOS: Computer and information sciences0209 industrial biotechnology02 engineering and technology

Keywords

Haptic technologyObject (grammar)CurriculumReinforcement learningHuman–computer interactionComputer scienceArtificial intelligenceMathematics educationPsychologyPedagogyFOS: Computer and information sciencesComputer Science - RoboticsComputer Science - Machine LearningArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceRobotics (cs.RO)Machine Learning (cs.LG)