Qianchuan Zhao

Artificial Intelligence · with Yang · 2021

A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 103 citations into it
• Reinforcement Learning — 91 citations into it
• Management Science and Operations Research — 24 citations into it
• Control and Systems Engineering — 15 citations into it
• Electrical and Electronic Engineering — 13 citations into it
• Game & Decision Theory — 6 citations into it

Whom Qianchuan Zhao trusts overall

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

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

Papers from Qianchuan Zhao's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Reinforcement Learning: An Introduction
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Celebrating Diversity in Shared Multi-Agent Reinforcement Learning (2021) — 208 citations
• 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