Guy Lever

Reinforcement Learning · 2012–2021

A researcher in the Science corpus: 9 papers; trusts 64 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

Whom Guy Lever trusts overall

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

  1. Richard S. Sutton
  2. J. Langford
  3. Diederik P. Kingma
  4. Andrew Barto
  5. Geoffrey E. Hinton
  6. David A. McAllester
  7. John Shawe-Taylor
  8. Le Song
  9. Ronald J. Williams
  10. Yoshua Bengio

Who trusts Guy Lever overall

  1. Bo Dai
  2. Sergey Levine
  3. Pierre Alquier
  4. Kenji Fukumizu
  5. Shimon Whiteson
  6. Arthur Gretton
  7. Nan Jiang
  8. Herke Van Hoof
  9. Byron Boots
  10. Nicolas Manfred Otto Heess

Papers from Guy Lever's perspective

Ordered by how strongly the researchers Guy Lever 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. 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. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Reinforcement Learning: An Introduction

Their papers