Frank S. He

Reinforcement Learning · 2016

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 22 citations into it; #2,001 of 2,242 by trust here, #1,864 by citations
• Artificial Intelligence — 17 citations into it; #30,275 of 35,345 by trust here, #24,417 by citations
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Frank S. He trusts overall

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

1. Hado van Hasselt
2. Martin A. Riedmiller
3. Geoffrey E. Hinton
4. Volodymyr Mnih
5. Ben J. A. Kröse
6. Longxin Lin
7. Yann LeCun
8. Yoshua Bengio
9. Richard S. Sutton
10. Pawel Wawrzynski

Who trusts Frank S. He overall

1. Yuxi Li
2. Scott Fujimoto
3. Su Young Lee
4. Jie Zhang
5. Alexander Pritzel
6. Matteo Hessel
7. Herke Van Hoof
8. Sung-Ik Choi

Papers from Frank S. He's perspective

Ordered by how strongly the researchers Frank S. He 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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening (2016) — 87 citations