Hassam Sheikh

Reinforcement Learning · 2018

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

• Reinforcement Learning — 16 citations into it
• Artificial Intelligence — 11 citations into it

Whom Hassam Sheikh trusts overall

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

1. Igor Mordatch
2. John Schulman
3. Tom Schaul
4. Pieter Abbeel
5. David Silver
6. Richard S. Sutton
7. Timothy P. Lillicrap
8. Ryan J. Lowe
9. Geoffrey E. Hinton
10. R. Caruana

Who trusts Hassam Sheikh overall

1. Muhammad Abdullah Jamal

Papers from Hassam Sheikh's perspective

Ordered by how strongly the researchers Hassam Sheikh 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards (2018) — 3 citations