Jelle R. Kok

Reinforcement Learning · 2004–2006

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Jelle R. Kok trusts overall

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

  1. Carlos Guestrin
  2. Christopher J. C. H. Watkins
  3. Craig Boutilier
  4. Richard S. Sutton
  5. Martin L. Puterman
  6. Ming Tan
  7. Sandip Sen
  8. Judea Pearl
  9. Peter S. Dayan
  10. Andrew Barto

Who trusts Jelle R. Kok overall

  1. Frans Adriaan Oliehoek
  2. Francisco S. Melo
  3. Yujing Hu
  4. Shimon Whiteson
  5. Y. Liu
  6. Chongjie Zhang
  7. Paulina Varshavskaya
  8. Wendelin Böhmer
  9. Ammar Haydari
  10. Matthew Veres

Papers from Jelle R. Kok's perspective

Ordered by how strongly the researchers Jelle R. Kok 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Reinforcement Learning: An Introduction
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers