Marwa Abdulhai

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Reinforcement Learning — 38 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Marwa Abdulhai trusts overall

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

1. Richard S. Sutton
2. Thomas G. Dietterich
3. Volodymyr Mnih
4. George Dimitri Konidaris
5. Andrew Barto
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Doina Precup
9. J. Urgen Schmidhuber
10. Alex Graves

Papers from Marwa Abdulhai's perspective

Ordered by how strongly the researchers Marwa Abdulhai 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. 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. Learning Multiple Layers of Features from Tiny Images
9. Asynchronous Methods for Deep Reinforcement Learning
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning (2020) — 69 citations
• Context-Specific Representation Abstraction for Deep Option Learning (2021) — 16 citations