Tim Paek

Reinforcement Learning · 2001–2008

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Tim Paek trusts overall

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

  1. Andrew Barto
  2. Richard S. Sutton
  3. Andrew Y. Ng
  4. Leslie Pack Kaelbling
  5. Christopher J. C. H. Watkins
  6. Marilyn A. Walker
  7. Satinder Singh
  8. Steven J. Bradtke
  9. Michael L. Littman
  10. Peter S. Dayan

Who trusts Tim Paek overall

  1. Weikang Wang
  2. Jiajun Zhang
  3. Jan Deriu
  4. Jesse Dodge
  5. Han Zhang
  6. Mei-Yuh Hwang
  7. Verena Rieser
  8. Brielen Madureira
  9. Sudha Rao
  10. Heriberto Cuayáhuitl

Papers from Tim Paek's perspective

Ordered by how strongly the researchers Tim Paek 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. Gradient-based learning applied to document recognition
  4. Reinforcement Learning: An Introduction
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers