Chenghao Li

Artificial Intelligence · 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 Chenghao Li trusts overall

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

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

Who trusts Chenghao Li overall

1. Yiqin Yang
2. Chao Yu

Papers from Chenghao Li's perspective

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

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

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