Chao Wang

Reinforcement Learning · with Shen · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 10 citations into it
• Artificial Intelligence — 6 citations into it; #31,348 of 35,345 by trust here, #33,294 by citations

Whom Chao Wang trusts overall

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

1. Daan Wierstra
2. Ronald J. Williams
3. Diederik P. Kingma
4. Nicolas Manfred Otto Heess
5. J. Urgen Schmidhuber
6. David Silver
7. Jimmy Ba
8. Geoffrey E. Hinton
9. Richard S. Sutton
10. Timothy P. Lillicrap

Who trusts Chao Wang overall

1. Kai Zhu
2. Bander Al-Zahrani
3. Tao Zhang

Papers from Chao Wang's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Autonomous Navigation of UAVs in Large-Scale Complex Environments: A Deep Reinforcement Learning Approach (2019) — 355 citations