Zhifei Shao

Reinforcement Learning · 2012

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 18 citations into it
• Artificial Intelligence — 11 citations into it; #14,209 of 35,345 by trust here, #26,682 by citations
• Control and Systems Engineering — 8 citations into it; #2,616 of 8,257 by trust here, #5,227 by citations

Whom Zhifei Shao trusts overall

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

1. Pieter Abbeel
2. Andrew Y. Ng
3. Nathan D. Ratliff
4. Martin L. Puterman
5. Dean A. Pomerleau
6. Tom M. Heskes
7. Jens Kober
8. Stefan Schaal
9. Aude Gemma Billard
10. Deepak Ramachandran

Who trusts Zhifei Shao overall

1. Daniel S. Brown
2. Péter Englert
3. Chao Yu
4. Scott Niekum
5. Marc Toussaint
6. Jiming Liu
7. Shamim Nemati
8. Prasoon Goyal

Papers from Zhifei Shao's perspective

Ordered by how strongly the researchers Zhifei Shao 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Reinforcement Learning: An Introduction
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A survey of inverse reinforcement learning techniques (2012) — 116 citations