Do-Van Nguyen

Reinforcement Learning · 2019

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

Subfields

• Reinforcement Learning — 13 citations into it

Whom Do-Van Nguyen trusts overall

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

1. Richard S. Sutton
2. Alex Krizhevsky
3. Andrei A. Rusu
4. Geoffrey E. Hinton
5. Matthew Jon Grounds
6. Ilya Sutskever
7. George Dimitri Konidaris
8. Emilio Parisotto

Papers from Do-Van Nguyen's perspective

Ordered by how strongly the researchers Do-Van Nguyen 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. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
5. Proximal Policy Optimization Algorithms (arXiv.org)
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Sharing Experience in Multitask Reinforcement Learning (2019) — 22 citations