Stuart Armstrong

Reinforcement Learning · 2012–2017

A researcher in the Science corpus: 9 papers; trusts 48 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Stuart Armstrong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Nick Bostrom
  2. Andrew Y. Ng
  3. Christian P. Robert
  4. Dan Dewey
  5. S. Omohundro
  6. Pieter Abbeel
  7. Eliezer Yudkowsky
  8. Robert Leonard
  9. Richard S. Sutton
  10. Roman V Yampolskiy

Who trusts Stuart Armstrong overall

  1. Tom Everitt
  2. Victoria Krakovna
  3. Jan Leike
  4. Marcus Hutter
  5. Iason Gabriel
  6. Dylan Hadfield-Menell
  7. Jessica Taylor
  8. Miljan Martic
  9. David Krueger
  10. Nate Soares

Papers from Stuart Armstrong's perspective

Ordered by how strongly the researchers Stuart Armstrong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Reinforcement Learning: An Introduction
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers