Xu-Hui Liu

Reinforcement Learning · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xu-Hui Liu trusts overall

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

  1. Longxin Lin
  2. Richard S. Sutton
  3. Sham M. Kakade
  4. Sergey Levine
  5. Aviral Kumar
  6. Tom Schaul
  7. Tuomas Haarnoja
  8. Volodymyr Mnih
  9. E. Todorov
  10. Geoffrey E. Hinton

Papers from Xu-Hui Liu's perspective

Ordered by how strongly the researchers Xu-Hui Liu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Reinforcement Learning: An Introduction
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Human-level control through deep reinforcement learning
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers