Xueguang Lyu

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 24 citations into it
• Artificial Intelligence — 19 citations into it
• Management Science and Operations Research — 9 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Xueguang Lyu trusts overall

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

1. Jakob N. Foerster
2. Laëtitia Matignon
3. Chris Amato
4. Shayegan Omidshafiei
5. Matthew J. Hausknecht
6. Leslie Pack Kaelbling
7. Richard S. Sutton
8. Nancy Fulda
9. Gregory Palmer
10. Will Dabney

Who trusts Xueguang Lyu overall

1. Sven Gronauer
2. Klaus-Jürgen Diepold

Papers from Xueguang Lyu's perspective

Ordered by how strongly the researchers Xueguang Lyu 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Reinforcement Learning: An Introduction
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Human-level control through deep reinforcement learning
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Likelihood Quantile Networks for Coordinating Multi-Agent Reinforcement Learning (2018) — 28 citations