Paria Rashidinejad

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it
• Reinforcement Learning — 54 citations into it
• Statistical Learning Theory — 7 citations into it

Whom Paria Rashidinejad trusts overall

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

1. R´emi Munos
2. Richard S. Sutton
3. Bin Yu
4. Csaba Szepesvari
5. Lucien Le Cam
6. Sham M. Kakade
7. Sergey Levine
8. Geoffrey E. Hinton
9. Volodymyr Mnih
10. Stéphane Ross

Papers from Paria Rashidinejad's perspective

Ordered by how strongly the researchers Paria Rashidinejad 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Human-level control through deep reinforcement learning
9. Reinforcement Learning: An Introduction
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism (2021) — 360 citations