Alex Ayoub

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #28,922 of 35,345 by trust here, #26,682 by citations
• Reinforcement Learning — 27 citations into it
• Management Science and Operations Research — 18 citations into it; #9,742 of 11,946 by trust here, #7,638 by citations

Whom Alex Ayoub trusts overall

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

1. Ian Osband
2. Yasin Abbasi-Yadkori
3. Malcolm J. A. Strens
4. David Freedman
5. Dimitri P. Bertsekas
6. Richard S. Sutton
7. Sham M. Kakade
8. Lin F. Yang
9. Andrew Barto
10. Csaba Szepesvari

Who trusts Alex Ayoub overall

1. Weitong Zhang
2. Qi Cai
3. Ruosong Wang
4. Dongruo Zhou
5. Zhuoran Yang
6. Andrea Zanette
7. Quanquan Gu
8. Simon Shaolei Du

Papers from Alex Ayoub's perspective

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

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

Their papers

• Model-Based Reinforcement Learning with Value-Targeted Regression (2020) — 329 citations