Sina Ghiassian

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 30 citations into it
• Artificial Intelligence — 19 citations into it
• Management Science and Operations Research — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Sina Ghiassian trusts overall

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

1. Richard S. Sutton
2. Doina Precup
3. Hamid Reza Maei
4. Huizhen Yu
5. Leah Hackman
6. Satinder Singh
7. Leemon C. Baird III
8. Matthieu Geist
9. Andrew Barto
10. Bo Liu

Who trusts Sina Ghiassian overall

1. Yi Wan

Papers from Sina Ghiassian's perspective

Ordered by how strongly the researchers Sina Ghiassian 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Reinforcement Learning: An Introduction
6. Long Short-Term Memory
7. Human-level control through deep reinforcement learning
8. Attention is All you Need (Neural Information Processing Systems)
9. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Online Off-policy Prediction (2018) — 23 citations