A. Harry Klopf

Reinforcement Learning · 1972–1994

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom A. Harry Klopf trusts overall

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

  1. Richard S. Sutton
  2. David E. Rumelhart
  3. John J. Hopfield
  4. Andrew Barto
  5. Geoffrey E. Hinton
  6. Paul J. Werbos
  7. Marvin Minsky
  8. Arthur L. Samuel
  9. Ian H. Witten
  10. E. James Kehoe

Who trusts A. Harry Klopf overall

  1. Richard S. Sutton
  2. Andrew Barto
  3. Satinder Singh
  4. Peter S. Dayan
  5. Sergey Levine
  6. Guoqiang Bi
  7. William H. Alexander
  8. Yoshua Bengio
  9. J. Urgen Schmidhuber
  10. Wulfram Gerstner

Papers from A. Harry Klopf's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Brain Function and Adaptive Systems: A Heterostatic Theory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Reinforcement Learning: An Introduction
  7. Rectified Linear Units Improve Restricted Boltzmann Machines
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers