Shangtong Zhang

Reinforcement Learning · 2017–2020

A researcher in the Science corpus: 8 papers; trusts 222 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Shangtong Zhang trusts overall

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

  1. Richard S. Sutton
  2. Volodymyr Mnih
  3. Marc G. Bellemare
  4. Hamid Reza Maei
  5. Geoffrey E. Hinton
  6. Andrew Barto
  7. Leemon C. Baird III
  8. David Silver
  9. Diederik P. Kingma
  10. Csaba Szepesvari

Who trusts Shangtong Zhang overall

  1. Sergey Levine
  2. Bo Liu
  3. Aviral Kumar
  4. Justin Fu
  5. Nan Jiang
  6. Shimon Whiteson
  7. Simon Schmitt
  8. Chris Dongjoo Kim
  9. Fabio Pardo
  10. Hengshuai Yao

Papers from Shangtong Zhang's perspective

Ordered by how strongly the researchers Shangtong Zhang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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. Reinforcement Learning: An Introduction

Their papers