Renyuan Xu

Reinforcement Learning · 2021

A researcher in the Science corpus: 1 paper; trusts 94 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 49 citations into it
• Artificial Intelligence — 47 citations into it
• Management Science and Operations Research — 36 citations into it
• Finance — 19 citations into it
• Economics and Econometrics — 10 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Renyuan Xu trusts overall

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

1. Richard S. Sutton
2. Sham M. Kakade
3. Ronald J. Williams
4. Geoffrey E. Hinton
5. Michael L. Littman
6. Andrew Barto
7. Volodymyr Mnih
8. Ilya Sutskever
9. Hado van Hasselt
10. Yoshua Bengio

Papers from Renyuan Xu's perspective

Ordered by how strongly the researchers Renyuan Xu 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• Recent advances in reinforcement learning in finance (2021) — 295 citations