Shideh Rezaeifar

Reinforcement Learning · 2021

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 48 citations into it
• Artificial Intelligence — 42 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Optimization & Training — 5 citations into it

Whom Shideh Rezaeifar trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. Aviral Kumar
4. Sergey Levine
5. Dimitri P. Bertsekas
6. Longxin Lin
7. Geoffrey E. Hinton
8. Scott Fujimoto
9. David Silver
10. E. Todorov

Papers from Shideh Rezaeifar's perspective

Ordered by how strongly the researchers Shideh Rezaeifar trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Human-level control through deep reinforcement learning
8. Reinforcement Learning: An Introduction
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Offline Reinforcement Learning with Pseudometric Learning (2021) — 44 citations