Shayan Doroudi

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 7 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Shayan Doroudi trusts overall

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

1. Philip S. Thomas
2. M. Powell
3. Emma Brunskill
4. Richard S. Sutton
5. Sergey Levine

Who trusts Shayan Doroudi overall

1. Xinkun Nie
2. Aditya Grover
3. Alberto Maria Metelli
4. Martin Mladenov
5. Aniruddh Raghu
6. Emma Brunskill
7. Justin Fu
8. Matteo Papini
9. Kristy Choi
10. Elliot Creager

Papers from Shayan Doroudi's perspective

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

Their papers

• Importance Sampling for Fair Policy Selection (2017) — 50 citations