Yuezhang Li

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 7 citations into it

Whom Yuezhang Li trusts overall

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

1. Richard S. Sutton
2. Ronald J. Williams
3. Volodymyr Mnih
4. Geoffrey E. Hinton
5. Hado van Hasselt
6. Alex Krizhevsky
7. Quoc V. Le

Who trusts Yuezhang Li overall

1. Raghuram Mandyam Annasamy
2. Akanksha Atrey

Papers from Yuezhang Li's perspective

Ordered by how strongly the researchers Yuezhang Li 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. Going deeper with convolutions
4. Gradient-based learning applied to document recognition
5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
6. Asynchronous Methods for Deep Reinforcement Learning
7. Human-level control through deep reinforcement learning
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Transparency and Explanation in Deep Reinforcement Learning Neural Networks (2018) — 195 citations