Yun Shen

Reinforcement Learning · with Obermayer · 2013

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yun Shen trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. Martin L. Puterman
  4. Daniel Kahneman
  5. Amos Tversky
  6. Wolfram Schultz
  7. Hans Föllmer
  8. Florentin Wörgötter
  9. Dimitri P. Bertsekas
  10. Ronald E. Parr

Who trusts Yun Shen overall

  1. Stefan Depeweg
  2. Benjamin Eysenbach
  3. Ben M. Hambly
  4. Trung Kien Vu
  5. Sergey Levine
  6. Javier García
  7. José Miguel Hernández-Lobato
  8. Brijen Thananjeyan
  9. Brendan O'Donoghue
  10. Renyuan Xu

Papers from Yun Shen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Reinforcement Learning: An Introduction
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers