Shihui Li

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 27 citations into it
• Artificial Intelligence — 25 citations into it

Whom Shihui Li trusts overall

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

1. Richard S. Sutton
2. Jakob N. Foerster
3. G. Tesauro
4. Pieter Abbeel
5. Igor Mordatch
6. Ian J. Goodfellow
7. Geoffrey E. Hinton
8. Jun Morimoto
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Shihui Li overall

1. Pablo Hernandez-Leal
2. Changxi Zhu
3. Georgios Papoudakis
4. Zhen-Yu Tang
5. Bilal Kartal
6. Mehdi M. Dastani

Papers from Shihui Li's perspective

Ordered by how strongly the researchers Shihui Li 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. 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. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient (2019) — 348 citations