Shihan Wang

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Reinforcement Learning — 39 citations into it

Whom Shihan Wang trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Tabish Rashid

Papers from Shihan Wang's perspective

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

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

Their papers

• A survey of multi-agent deep reinforcement learning with communication (2022) — 310 citations