Nannan Li

Artificial Intelligence · with Shao · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 80 citations into it
• Reinforcement Learning — 80 citations into it

Whom Nannan Li trusts overall

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

1. J. Urgen Schmidhuber
2. Volodymyr Mnih
3. Richard S. Sutton
4. Sepp Hochreiter
5. Geoffrey E. Hinton

Papers from Nannan Li's perspective

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

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

Their papers

• A Survey of Deep Reinforcement Learning in Video Games (2019) — 237 citations