Dong Yan

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 15 citations into it
• Artificial Intelligence — 14 citations into it

Whom Dong Yan trusts overall

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

1. Chelsea Finn
2. Richard S. Sutton
3. Andrew Barto
4. Sergey Levine
5. Pieter Abbeel
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Diederik P. Kingma
9. Oriol Vinyals
10. Alex Krizhevsky

Papers from Dong Yan's perspective

Ordered by how strongly the researchers Dong Yan 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Reinforcement Learning: An Introduction
9. Human-level control through deep reinforcement learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Reward Shaping via Meta-Learning (2019) — 80 citations