Shan Xue

Computational Theory and Mathematics · with Liu · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 30 citations into it
• Artificial Intelligence — 21 citations into it
• Reinforcement Learning — 15 citations into it
• Control and Systems Engineering — 14 citations into it
• Electrical and Electronic Engineering — 12 citations into it
• Biomedical Engineering — 9 citations into it

Whom Shan Xue trusts overall

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

1. Richard S. Sutton
2. Frank L. Lewis
3. Hamidreza Modares
4. Andrew Barto
5. Ben J. A. Kröse
6. Derong Liu
7. Dimitri P. Bertsekas
8. Paul J. Werbos
9. Kyriakos G. Vamvoudakis
10. Ding Wang

Papers from Shan Xue's perspective

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

1. Reinforcement Learning: An Introduction
2. Human-level control through deep reinforcement learning
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. End-to-End Training of Deep Visuomotor Policies
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning from delayed rewards
9. Long Short-Term Memory
10. Learning to predict by the methods of temporal differences

Their papers

• Adaptive Dynamic Programming for Control: A Survey and Recent Advances (2021) — 581 citations