Alexander V. Bernstein

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it

Whom Alexander V. Bernstein trusts overall

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

1. Yuxi Li
2. Christopher J. C. H. Watkins
3. Peter S. Dayan
4. Geoffrey E. Hinton
5. Yann LeCun
6. John N. Tsitsiklis
7. Yoshua Bengio
8. Richard S. Sutton
9. Sergey Levine
10. Sean R. Eddy

Who trusts Alexander V. Bernstein overall

1. Chao Yu
2. Jiming Liu
3. Shamim Nemati

Papers from Alexander V. Bernstein's perspective

Ordered by how strongly the researchers Alexander V. Bernstein 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. 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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Reinforcement learning in computer vision (2018) — 31 citations