Yong Chen

Reinforcement Learning · with Zhang · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 27 citations into it
• Artificial Intelligence — 18 citations into it
• Game & Decision Theory — 5 citations into it

Whom Yong Chen trusts overall

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

1. Michael L. Littman
2. Hado van Hasselt
3. Richard S. Sutton
4. Steffen Rendle
5. Ming Tan
6. Christopher J. C. H. Watkins
7. Guillaume Lample
8. Geoffrey E. Hinton
9. Peter S. Dayan
10. Andrew Barto

Who trusts Yong Chen overall

1. Sven Gronauer
2. Wendelin Böhmer
3. Arrasy Rahman
4. Klaus-Jürgen Diepold

Papers from Yong Chen's perspective

Ordered by how strongly the researchers Yong Chen 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. Long Short-Term Memory
4. Reinforcement Learning: An Introduction
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Factorized Q-learning for large-scale multi-agent systems (2018) — 75 citations