Prioritized Experience Replay
2016 • 7408 Citations
Published in International Conference on Learning Representations (ICLR) 2016
Tom Schaul
Tom Schaul is a researcher affiliated with Senior Staff Scientist, DeepMind, specializing in AI & Machine Learning. Their work has been cited 50,396 times. This profile visualizes their global influence, highlighting strong citation networks in US.
AI & Machine Learning
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Tom Schaul's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 50,396
- Citing Countries
- 2
As of April 2026.
Tom Schaul has an h-index of 1 and 50,396 total citations across 1 publication, with research cited by institutions in 2 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Top Citing Countries(Limited)
United States(US)
1United Kingdom(GB)
1Top Citing Institutions(Limited)
Google DeepMind
2Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 2 of 2 countries (2 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Timothy Lillicrap
4.0Google DeepMind
United Kingdom· Cited your work 1 time
Top institution - #2
Jurgis Pasukonis
4.0Google DeepMind
USA· Cited your work 1 time
Top institution
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 5 papers
4 / 5 independent
Citations flagged as non-independent share the scholar's home institution (Google DeepMind). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “Prioritized Experience Replay”
· cites “Prioritized Experience Replay”
· cites “Prioritized Experience Replay”
- Mastering diverse control tasks through world modelsSame institution
Timothy Lillicrap, Danijar Hafner, Jurgis Pasukonis, Jimmy Ba
Nature· cites “Prioritized Experience Replay”
· cites “Prioritized Experience Replay”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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