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researcher

M. Schukat

7 papers hereh-index 201.4k citations74 works total

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

author position
  • middle author4
  • last author2

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20162024
most citedDeep Reinforcement Learning: An Overview

259 citations · 313 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2018★ 259 cited

Deep Reinforcement Learning: An Overview

Seyed Sajad Mousavi, Michael Schukat, Enda Howley

In recent years, a specific machine learning method called deep learning has gained huge attraction, as it has obtained astonishing results in broad applications such as pattern re…

cs.LG2017★ 2 cited

Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning

Seyed Sajad Mousavi, Michael Schukat, Enda Howley

Recent advances in combining deep neural network architectures with reinforcement learning techniques have shown promising potential results in solving complex control problems wit…

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