Yusen Zhan

Reinforcement Learning · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 23 citations into it
• Artificial Intelligence — 19 citations into it; #18,032 of 35,345 by trust here, #32,362 by citations

Whom Yusen Zhan trusts overall

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

1. Alessandro Lazaric
2. Peter S. Dayan
3. Matthew E. Taylor
4. Christopher J. C. H. Watkins
5. Satinder Singh
6. Gavin Adrian Rummery
7. Lisa A. Torrey
8. Maya Cakmak
9. Peter Stone
10. Richard S. Sutton

Who trusts Yusen Zhan overall

1. Zhuangdi Zhu
2. Catherine Wong
3. Neil Houlsby
4. Kaixiang Lin
5. Anil K. Jain
6. Yifeng Lu
7. Pablo Hernandez-Leal

Papers from Yusen Zhan's perspective

Ordered by how strongly the researchers Yusen Zhan trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• An exploration strategy for non-stationary opponents (2017) — 12 citations
• Online Transfer Learning in Reinforcement Learning Domains (2015) — 34 citations