Qifan Lu

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qifan Lu trusts overall

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

  1. Richard S. Sutton
  2. W. B. Knox
  3. Andrew Y. Ng
  4. David Silver
  5. Geoffrey E. Hinton
  6. Hado van Hasselt
  7. Peter Stone
  8. Marc G. Bellemare
  9. Diederik P. Kingma
  10. Volodymyr Mnih

Papers from Qifan Lu's perspective

Ordered by how strongly the researchers Qifan Lu 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. Reinforcement Learning: An Introduction
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Human-level control through deep reinforcement learning
  8. Attention is All you Need (Neural Information Processing Systems)
  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