Yueyang Zhong

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it
• Management Science and Operations Research — 6 citations into it
• Finance — 5 citations into it

Whom Yueyang Zhong trusts overall

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

1. Richard S. Sutton
2. Michail G. Lagoudakis
3. Nan Jiang
4. Adith Swaminathan
5. Rama Cont
6. James M. Robins
7. Jianqing Fan
8. Lihong Li
9. Andrew Barto
10. Miroslav Dud'ik

Papers from Yueyang Zhong's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Human-level control through deep reinforcement learning
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Least-Squares Policy Iteration
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Data-Driven Market-Making via Model-Free Learning (2020) — 132 citations