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Saurabh Kumar

9 papers hereh-index 113k citations14 works total

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

author position
  • first author2
  • middle author7

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.LG4
  • stat.ML1
same name
  • Saurabh Kumar — 5 papers, h 5
  • Saurabh Kumar — 4 papers, h 3
  • Saurabh Kumar — 3 papers, h 6
  • Saurabh Kumar — 3 papers
  • Saurabh Kumar — 2 papers, h 8
  • Saurabh Kumar — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedDopamine: A Research Framework for Deep Reinforcement Learning

172 citations · 312 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

1 paper · 1 filter

cs.AI2021★ 5 cited

Characterizing the Gap Between Actor-Critic and Policy Gradient

Junfeng Wen, Saurabh Kumar, Ramki Gummadi +1

Actor-critic (AC) methods are ubiquitous in reinforcement learning. Although it is understood that AC methods are closely related to policy gradient (PG), their precise connection…

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