Guanghao Luo

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 23 citations into it
• Artificial Intelligence — 17 citations into it
• Control and Systems Engineering — 16 citations into it

Whom Guanghao Luo trusts overall

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

1. J. Urgen Schmidhuber
2. Diederik P. Kingma
3. Kaiming He
4. Geoffrey E. Hinton
5. Pieter Abbeel
6. Alex Krizhevsky
7. Yoshua Bengio
8. Sergey Levine
9. Ilya Sutskever
10. Michael I. Jordan

Papers from Guanghao Luo's perspective

Ordered by how strongly the researchers Guanghao Luo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Zero-Shot Visual Imitation (2018) — 329 citations