Weiqiao Han

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 16 citations into it
• Artificial Intelligence — 10 citations into it; #24,987 of 35,345 by trust here, #26,682 by citations
• Biomedical Engineering — 6 citations into it; #6,109 of 10,734 by trust here, #8,509 by citations
• Control and Systems Engineering — 6 citations into it; #5,561 of 8,257 by trust here, #5,227 by citations

Whom Weiqiao Han trusts overall

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

1. Jan Peters
2. Sergey Levine
3. Marc Peter Deisenroth
4. Stefan Schaal
5. Weiwei Li
6. Evangelos A. Theodorou
7. E. Todorov
8. Pieter Abbeel
9. Richard S. Sutton
10. Andrew Barto

Who trusts Weiqiao Han overall

1. Ke Li
2. Thomas George Thuruthel
3. Jitendra Malik
4. Sergey Levine
5. Benjamin Eysenbach
6. Egidio Falotico
7. Laura M. Smith
8. Archit Sharma

Papers from Weiqiao Han's perspective

Ordered by how strongly the researchers Weiqiao Han 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. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learning compound multi-step controllers under unknown dynamics (2015) — 54 citations