Yiqin Yang

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it
• Reinforcement Learning — 65 citations into it
• Management Science and Operations Research — 16 citations into it
• Control and Systems Engineering — 13 citations into it

Whom Yiqin Yang trusts overall

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

1. Richard S. Sutton
2. Sergey Levine
3. Ronald J. Williams
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Andrew Barto
7. Frans Adriaan Oliehoek
8. Yoshua Bengio
9. Alex Krizhevsky
10. Pieter Abbeel

Who trusts Yiqin Yang overall

1. Chenghao Li

Papers from Yiqin Yang's perspective

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

Their papers

• Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning (2021) — 19 citations
• Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning (2021) — 124 citations