Shansi Zhang

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 268 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 48 citations into it
• Artificial Intelligence — 46 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Management Science and Operations Research — 10 citations into it
• Control and Systems Engineering — 8 citations into it
• Optimization & Training — 7 citations into it
• Automotive Engineering — 6 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom Shansi Zhang trusts overall

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

1. Richard S. Sutton
2. Alex Graves
3. David Silver
4. John Schulman
5. Volodymyr Mnih
6. Geoffrey E. Hinton
7. Tom Schaul
8. Hado van Hasselt
9. Timothy P. Lillicrap
10. Sepp Hochreiter

Papers from Shansi Zhang's perspective

Ordered by how strongly the researchers Shansi Zhang 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Continuous control for robot based on deep reinforcement learning (2019) — 337 citations