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researcher

Michael Schaarschmidt

12 papers hereh-index 14750 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author5
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cond-mat.mtrl-sci1
  • cs.DC1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20162024
most citedLIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations

37 citations · 116 across the 12 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.LG2019★ 6 cited

Learning Index Selection with Structured Action Spaces

Jeremy Welborn, Michael Schaarschmidt, Eiko Yoneki

Configuration spaces for computer systems can be challenging for traditional and automatic tuning strategies. Injecting task-specific knowledge into the tuner for a task may allow…

cs.LG2019

Wield: Systematic Reinforcement Learning With Progressive Randomization

Michael Schaarschmidt, Kai Fricke, Eiko Yoneki

Reinforcement learning frameworks have introduced abstractions to implement and execute algorithms at scale. They assume standardized simulator interfaces but are not concerned wit…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.