Yuhui Wang

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 15 citations into it; #28,309 of 35,345 by trust here, #34,213 by citations

Whom Yuhui Wang trusts overall

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

1. Sham M. Kakade
2. Richard S. Sutton
3. John Schulman
4. E. Todorov
5. Ronald J. Williams
6. Marc G. Bellemare
7. Jan Peters
8. Sergey Levine
9. Scott Fujimoto
10. Tuomas Haarnoja

Who trusts Yuhui Wang overall

1. James Queeney
2. Ioannis Ch. Paschalidis

Papers from Yuhui Wang's perspective

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

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

Their papers

• Truly Proximal Policy Optimization (2019) — 212 citations