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SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces
Research article (2016 IEEE International Conference on Robotics and Automation (ICRA), 2016) · cited 54× · AI/ML
SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces
Summary
SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces is a scholarly article[1].
Key Facts
SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces. Retrieved May 24, 2026, from https://4ort.xyz/entity/shiv-reducing-supervisor-burden-in-dagger-using-support-vectors-for-efficient-learning-from-demonstrations-in-high-dimen
MLA“SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/shiv-reducing-supervisor-burden-in-dagger-using-support-vectors-for-efficient-learning-from-demonstrations-in-high-dimen.
BibTeX@misc{4ortxyz_shiv-reducing-supervisor-burden-in-dagger-using-support-vectors-for-efficient-learning-from-demonstrations-in-high-dimen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces}}, year = {2026}, url = {https://4ort.xyz/entity/shiv-reducing-supervisor-burden-in-dagger-using-support-vectors-for-efficient-learning-from-demonstrations-in-high-dimen}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces — https://4ort.xyz/entity/shiv-reducing-supervisor-burden-in-dagger-using-support-vectors-for-efficient-learning-from-demonstrations-in-high-dimen (retrieved 2026-05-24)
