Yujie Tang

Reinforcement Learning · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 42 citations into it
• Artificial Intelligence — 41 citations into it
• Electrical and Electronic Engineering — 34 citations into it
• Control and Systems Engineering — 25 citations into it

Whom Yujie Tang trusts overall

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

1. Rabih A. Jabr
2. John N. Tsitsiklis
3. Alberto Borghetti
4. Richard S. Sutton
5. Ziming Yan
6. Steven H. Low
7. John Schulman
8. Lingwen Gan
9. Geoffrey E. Hinton
10. Hussein M. Khodr

Papers from Yujie Tang's perspective

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

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

Their papers

• Feeder Reconfiguration in Distribution Networks Based on Convex Relaxation of OPF (2015) — 83 citations
• Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges (2021) — 383 citations