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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 — 3 papers, h 6
  • Saurabh Kumar — 2 papers, h 8
  • Saurabh Kumar — 1 paper
  • Saurabh Kumar — 1 paper
  • Saurabh Kumar — 1 paper, h 2
  • Saurabh Kumar — 1 paper, h 7

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 stat.MLShow all

1 paper · 1 filter

stat.ML2019★ 24 cited

Statistics and Samples in Distributional Reinforcement Learning

Mark Rowland, Robert Dadashi, Saurabh Kumar +3

We present a unifying framework for designing and analysing distributional reinforcement learning (DRL) algorithms in terms of recursively estimating statistics of the return distr…

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