Ilya Scheidwasser

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Demo Data from VLDB 2026 / reviewers in the wild / expert

dblp:132/6224 · DBLP profile ↗

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1ranked-venue papers

0as first author

0since 2021 · last 2012

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence

1 paper

Reinforcement learning · 50% Representation and self-supervised learning · 50%

Topics — the 2 heaviest of 3, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Representation and self-supervised learning › shared representation feature sharing	0.1	1	2012	Transfer in Reinforcement Learning via Shared Features · J. Mach. Learn. Res. 2012
Machine learning › Reinforcement learning transfer learning in reinforcement learning	0.1	1	2012	Transfer in Reinforcement Learning via Shared Features · J. Mach. Learn. Res. 2012

Methods — techniques the papers use, named apart from their topics

transfer learning · 0.1shared features · 0.1

Year	Publication	Venue	Position
2012	Transfer in Reinforcement Learning via Shared Features George Dimitri Konidaris, Ilya Scheidwasser, Andrew G. Barto	J. Mach. Learn. Res.	2