Yaqi Duan

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it
• Artificial Intelligence — 9 citations into it; #13,141 of 35,345 by trust here, #25,040 by citations
• Management Science and Operations Research — 5 citations into it; #3,985 of 11,946 by trust here, #6,888 by citations

Whom Yaqi Duan trusts overall

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

1. Richard S. Sutton
2. Lin F. Yang
3. David Freedman
4. Joel A. Tropp
5. Philip S. Thomas
6. Michail G. Lagoudakis
7. Nan Jiang
8. Andrew Barto
9. Mengdi Wang
10. Nicholas K. Jong

Who trusts Yaqi Duan overall

1. Alekh Agarwal
2. Ying Jin
3. Nan Jiang
4. Tengyang Xie
5. Mengjiao Yang
6. Ofir Nachum
7. Andrea Zanette
8. Zhuoran Yang
9. Sham M. Kakade
10. Ching-An Cheng

Papers from Yaqi Duan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Human-level control through deep reinforcement learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation (2020) — 166 citations