Jianhao Wang

Reinforcement Learning · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 89 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Jianhao Wang trusts overall

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

  1. Ming Tan
  2. Jakob N. Foerster
  3. Tabish Rashid
  4. Craig Boutilier
  5. Richard S. Sutton
  6. Diederik P. Kingma
  7. Geoffrey E. Hinton
  8. Frans Adriaan Oliehoek
  9. Sergey Levine
  10. Mikayel Samvelyan

Who trusts Jianhao Wang overall

  1. Tonghan Wang
  2. Yihan Wang
  3. Bei Peng
  4. Chongjie Zhang
  5. Tarun Gupta
  6. Tabish Rashid
  7. Changxi Zhu
  8. Chenghao Li
  9. Beining Han
  10. Kyunghwan Son

Papers from Jianhao Wang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Reinforcement Learning: An Introduction
  9. Human-level control through deep reinforcement learning
  10. Learning Multiple Layers of Features from Tiny Images

Their papers