Xingyu Lu

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 28 citations into it
• Artificial Intelligence — 24 citations into it

Whom Xingyu Lu trusts overall

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

1. Richard S. Sutton
2. Doina Precup
3. Geoffrey E. Hinton
4. Ian Osband
5. Thomas G. Dietterich
6. Ofir Nachum
7. Andrew Barto
8. Peter S. Dayan
9. Andrew Levy
10. Ronald E. Parr

Papers from Xingyu Lu's perspective

Ordered by how strongly the researchers Xingyu Lu 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. 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

• Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? (2019) — 122 citations