Li Chen

Reinforcement Learning · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 10 citations into it

Whom Li Chen trusts overall

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

1. Richard S. Sutton
2. David Silver
3. Kurt Hornik
4. Volodymyr Mnih
5. Mohammad Alizadeh
6. Andrew Barto
7. John Schulman
8. Timothy P. Lillicrap
9. Shalabh Bhatnagar
10. Geoffrey E. Hinton

Who trusts Li Chen overall

1. Chaoyun Zhang
2. Juncheng Gu
3. Paul Patras

Papers from Li Chen's perspective

Ordered by how strongly the researchers Li Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Asynchronous Methods for Deep Reinforcement Learning
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• AuTO: scaling deep reinforcement learning for datacenter-scale automatic traffic optimization (2018) — 312 citations