Laurent Orseau

Reinforcement Learning · 2011–2020

A researcher in the Science corpus: 12 papers; trusts 73 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Laurent Orseau trusts overall

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

  1. Marcus Hutter
  2. Ray J. Solomonoff
  3. Richard S. Sutton
  4. Stephen W. Carden
  5. Andrew Barto
  6. Pieter Abbeel
  7. Satinder Singh
  8. J. Urgen Schmidhuber
  9. Ronald J. Williams
  10. Andrew Y. Ng

Who trusts Laurent Orseau overall

  1. Tom Everitt
  2. Jan Leike
  3. Victoria Krakovna
  4. Marcus Hutter
  5. Eric Langlois
  6. Miljan Martic
  7. Shane Legg
  8. Pedro A. Ortega
  9. Bill Hibbard
  10. Jan Leike

Papers from Laurent Orseau's perspective

Ordered by how strongly the researchers Laurent Orseau 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Reinforcement Learning: An Introduction
  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