Longyu Yang

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it
• Reinforcement Learning — 61 citations into it
• Management Science and Operations Research — 21 citations into it
• Statistics and Probability — 5 citations into it

Whom Longyu Yang trusts overall

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

1. Richard S. Sutton
2. G. Tesauro
3. Diederik P. Kingma
4. Andrew Barto
5. Dimitri P. Bertsekas
6. Geoffrey E. Hinton
7. Yinlam Chow
8. Ofir Nachum
9. Pieter Abbeel
10. John Schulman

Papers from Longyu Yang's perspective

Ordered by how strongly the researchers Longyu 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
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

• A Review of Safe Reinforcement Learning: Methods, Theory and Applications (2022) — 328 citations