Zhentao Tang

Artificial Intelligence · 2019

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

• Artificial Intelligence — 80 citations into it
• Reinforcement Learning — 80 citations into it

Whom Zhentao Tang trusts overall

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

1. J. Urgen Schmidhuber
2. Richard S. Sutton
3. Volodymyr Mnih
4. Sepp Hochreiter
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Alex Graves
8. Yoshua Bengio
9. Diederik P. Kingma
10. Ronald J. Williams

Papers from Zhentao Tang's perspective

Ordered by how strongly the researchers Zhentao Tang 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Asynchronous Methods for Deep Reinforcement Learning
8. Human-level control through deep reinforcement learning
9. ImageNet: A large-scale hierarchical image database
10. Reinforcement Learning: An Introduction

Their papers

• A Survey of Deep Reinforcement Learning in Video Games (2019) — 237 citations