Rui Luo

Reinforcement Learning · with Wang · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 49 citations into it
• Artificial Intelligence — 43 citations into it; #32,268 of 35,345 by trust here, #12,974 by citations
• Management Science and Operations Research — 19 citations into it; #10,832 of 11,946 by trust here, #2,355 by citations
• Game & Decision Theory — 14 citations into it
• Economics and Econometrics — 8 citations into it

Whom Rui Luo trusts overall

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

1. Michael L. Littman
2. Michael H. Bowling
3. Richard S. Sutton
4. Satinder Singh
5. Csaba Szepesvari
6. Sergey Levine
7. David Silver
8. Junling Hu
9. Christopher J. C. H. Watkins
10. Geoffrey E. Hinton

Who trusts Rui Luo overall

1. Jiechuan Jiang
2. Sven Gronauer
3. Kaiqing Zhang
4. Yaodong Yang
5. Tonghan Wang

Papers from Rui Luo's perspective

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

Their papers

• Mean Field Multi-Agent Reinforcement Learning (2018) — 717 citations
• Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning (2019) — 169 citations