Tianshu Wei

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom Tianshu Wei trusts overall

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

1. L. Eon Bottou
2. Martin A. Riedmiller
3. Kaiming He
4. Christopher J. C. H. Watkins
5. Damien Ernst
6. Guanghua Hu
7. David Silver
8. Peter S. Dayan
9. X. Zhang
10. Volodymyr Mnih

Who trusts Tianshu Wei overall

1. Liang Yu
2. Shuqi Qin

Papers from Tianshu Wei's perspective

Ordered by how strongly the researchers Tianshu Wei 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Deep reinforcement learning for building HVAC control (2017) — 516 citations