Alex Tong Lin

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alex Tong Lin trusts overall

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

  1. Richard S. Sutton
  2. Ronald J. Williams
  3. Jakob N. Foerster
  4. G. Tesauro
  5. Volodymyr Mnih
  6. David Silver
  7. Geoffrey E. Hinton
  8. Andrew Barto
  9. Stéphane Ross
  10. Pieter Abbeel

Who trusts Alex Tong Lin overall

  1. Tabish Rashid

Papers from Alex Tong Lin's perspective

Ordered by how strongly the researchers Alex Tong Lin 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Reinforcement Learning: An Introduction

Their papers