Jun Yang

Artificial Intelligence · with Li · 2021

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Reinforcement Learning — 68 citations into it
• Control and Systems Engineering — 11 citations into it

Whom Jun Yang trusts overall

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

1. Richard S. Sutton
2. Tabish Rashid
3. Sergey Levine
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Kyunghwan Son
7. Yoshua Bengio
8. Alex Krizhevsky

Papers from Jun Yang's perspective

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

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

Their papers

• Celebrating Diversity in Shared Multi-Agent Reinforcement Learning (2021) — 208 citations
• Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning (2021) — 124 citations