Yaxin Liu

Reinforcement Learning · 2003–2007

A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Yaxin Liu trusts overall

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

  1. Andrew Barto
  2. Richard S. Sutton
  3. Peter Stone
  4. Matthew E. Taylor
  5. Carlos Guestrin
  6. Satinder Singh
  7. Craig Boutilier
  8. G. Tesauro
  9. Martin L. Puterman
  10. Daphne Koller

Who trusts Yaxin Liu overall

  1. Matthew E. Taylor
  2. Peter Stone
  3. Frans Adriaan Oliehoek
  4. Landon Kraemer
  5. Bruno Castro da Silva
  6. Haitham Bou-Ammar
  7. George Dimitri Konidaris
  8. Shimon Whiteson
  9. Neville Mehta
  10. Alessandro Lazaric

Papers from Yaxin Liu's perspective

Ordered by how strongly the researchers Yaxin Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers