Kendall Lowrey

Reinforcement Learning · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 61 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Kendall Lowrey trusts overall

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

  1. E. Todorov
  2. Sergey Levine
  3. Sham M. Kakade
  4. Yuval Tassa
  5. John Schulman
  6. Richard S. Sutton
  7. Geoffrey E. Hinton
  8. Tom Erez
  9. Ronald J. Williams
  10. Igor Mordatch

Who trusts Kendall Lowrey overall

  1. Aravind Rajeswaran
  2. Sergey Levine
  3. Igor Mordatch
  4. Pieter Abbeel
  5. Vikash Kumar
  6. Xue Bin Peng
  7. Kevin Lu
  8. Bo Dai
  9. Rahul Kidambi
  10. Horia Mania

Papers from Kendall Lowrey's perspective

Ordered by how strongly the researchers Kendall Lowrey 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers