Guangxiang Zhu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guangxiang Zhu trusts overall

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

  1. Richard S. Sutton
  2. Doina Precup
  3. Satinder Singh
  4. Tommi S. Jaakkola
  5. Pierre-Luc Bacon
  6. David Silver
  7. Hado van Hasselt

Papers from Guangxiang Zhu's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Human-level control through deep reinforcement learning
  3. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Mastering the game of Go without human knowledge

Their papers