Oshri Naparstek

Reinforcement Learning · 2017

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 15 citations into it
• Computer Networks and Communications — 14 citations into it; #2,501 of 9,886 by trust here, #5,733 by citations
• Electrical and Electronic Engineering — 13 citations into it; #2,905 of 16,539 by trust here, #11,313 by citations
• Artificial Intelligence — 10 citations into it

Whom Oshri Naparstek trusts overall

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

1. Qing Zhao
2. Hado van Hasselt
3. Volodymyr Mnih
4. David Silver
5. Keqin Liu
6. Ziyun Wang
7. Yuxi Li
8. Richard S. Sutton
9. Koray Kavukcuoglu
10. Arthur Guez

Who trusts Oshri Naparstek overall

1. Yasar Sinan Nasir
2. Yiding Yu
3. Qian Mao
4. Dongning Guo
5. Nan Zhao
6. Kobi Cohen
7. Taotao Wang
8. Fei Hu
9. Chaoyun Zhang
10. Ying-Chang Liang

Papers from Oshri Naparstek's perspective

Ordered by how strongly the researchers Oshri Naparstek 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks (2017) — 104 citations
• Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access (2017) — 431 citations