Garrett Warnell

Reinforcement Learning · 2017–2019

A researcher in the Science corpus: 6 papers; trusts 260 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Garrett Warnell trusts overall

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

  1. Pieter Abbeel
  2. Richard S. Sutton
  3. Diederik P. Kingma
  4. Sergey Levine
  5. Geoffrey E. Hinton
  6. Andrew Y. Ng
  7. Alex Krizhevsky
  8. Faraz Torabi
  9. John Schulman
  10. Ilya Sutskever

Who trusts Garrett Warnell overall

  1. Faraz Torabi
  2. Nathan Gavenski
  3. Ruohan Zhang
  4. Peter Stone
  5. Daniel S. Brown
  6. Lin Guan
  7. Kimin Lee
  8. Dzmitry Bahdanau
  9. Tom Everitt
  10. Jan Leike

Papers from Garrett Warnell's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers