Tom Van de Wiele

Reinforcement Learning · 2007–2020

A researcher in the Science corpus: 6 papers; trusts 61 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Van de Wiele trusts overall

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

  1. Ronald J. Williams
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Leslie Pack Kaelbling
  5. Richard S. Sutton
  6. Mohit Sewak
  7. Volodymyr Mnih
  8. Peter S. Dayan
  9. Longxin Lin
  10. E. Todorov

Who trusts Tom Van de Wiele overall

  1. Seyed Kamyar Seyed Ghasemipour
  2. Corey Lynch
  3. Christian Schröder de Witt
  4. Tianhe Yu
  5. Xingyu Lin
  6. Dale Schuurmans
  7. Sergey Levine
  8. Keiran Paster
  9. Bei Peng

Papers from Tom Van de Wiele's perspective

Ordered by how strongly the researchers Tom Van de Wiele 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. Learning Multiple Layers of Features from Tiny Images

Their papers