Ahmad A. Al Sallab

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 88 citations into it
• Reinforcement Learning — 68 citations into it
• Automotive Engineering — 38 citations into it
• Control and Systems Engineering — 23 citations into it

Whom Ahmad A. Al Sallab trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Pieter Abbeel
4. Geoffrey E. Hinton
5. Andrew Y. Ng
6. Ben J. A. Kröse
7. Yoshua Bengio
8. Diederik P. Kingma
9. Ronald J. Williams

Papers from Ahmad A. Al Sallab's perspective

Ordered by how strongly the researchers Ahmad A. Al Sallab 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. Asynchronous Methods for Deep Reinforcement Learning
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
9. ImageNet: A large-scale hierarchical image database
10. Continuous control with deep reinforcement learning (International Conference on Learning Representations)

Their papers

• Deep Reinforcement Learning for Autonomous Driving: A Survey (2020) — 2,407 citations