Yingfeng Chen

Reinforcement Learning · 2018–2021

A researcher in the Science corpus: 8 papers; trusts 33 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yingfeng Chen trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Tabish Rashid
  5. Volodymyr Mnih
  6. Tomas Mikolov
  7. Michael L. Littman
  8. Diederik P. Kingma
  9. Alex Krizhevsky
  10. Ben J. A. Kröse

Who trusts Yingfeng Chen overall

  1. Tabish Rashid
  2. Ayush Jain

Papers from Yingfeng Chen's perspective

Ordered by how strongly the researchers Yingfeng Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Et al
  10. Asynchronous Methods for Deep Reinforcement Learning

Their papers