Yun-En Liu

Reinforcement Learning · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Yun-En Liu trusts overall

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

  1. Richard S. Sutton
  2. Michael L. Littman
  3. Leonid Peshkin
  4. Yoshua Bengio
  5. Lihong Li
  6. Doina Precup
  7. Sergey Levine
  8. Alexander L. Strehl
  9. Hamid Reza Maei
  10. Satinder Singh

Who trusts Yun-En Liu overall

  1. Philip S. Thomas
  2. Romain Laroche
  3. Nathan Kallus
  4. Nan Jiang
  5. Emma Brunskill
  6. Ruosong Wang
  7. Josiah P. Hanna
  8. Thiago D. Simão
  9. Peter Henderson
  10. Lihong Li

Papers from Yun-En Liu's perspective

Ordered by how strongly the researchers Yun-En Liu 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. Attention is All you Need (Neural Information Processing Systems)
  7. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers