Taotao Wang

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 5 citations into it

Whom Taotao Wang trusts overall

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

1. Richard S. Sutton
2. Yann LeCun
3. Kaiming He
4. Oshri Naparstek
5. Christopher J. C. H. Watkins
6. Geoffrey E. Hinton
7. Andrew Barto
8. Yoshua Bengio
9. Peter S. Dayan
10. David Silver

Papers from Taotao Wang's perspective

Ordered by how strongly the researchers Taotao 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. 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. Attention is All you Need (Neural Information Processing Systems)
7. Human-level control through deep reinforcement learning
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks (2017) — 329 citations