Who Cited It

Sigmoid-weighted linear units for neural network function approximation in reinforcement learning

2018 · Neural Networks · 2,027 citations · 0 from inside this corpus

Stefan Elfwing, Eiji Uchibe, Kenji Doya

The source holds an abstract for this work, but its best open-access copy is under cc-by-nc-nd, which does not permit us to republish the text. Read it at the source below.

8 of 8 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

Topics

Neural Networks and ApplicationsComputer Science
Reinforcement Learning in RoboticsComputer Science
Adaptive Dynamic Programming ControlComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports36 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:51+00:00.

sha256 6e314d9c6052d1ed…