Anis Najar

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 18 citations into it
• Artificial Intelligence — 17 citations into it

Whom Anis Najar trusts overall

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

1. Richard S. Sutton
2. S. Branavan
3. Morgan Quigley
4. W. B. Knox
5. Andrew Barto
6. J. Clouse
7. Adam Vogel
8. José Antonio Becerra Permuy
9. Andrea Lockerd Thomaz
10. Charles Lee Isbell Jr.

Papers from Anis Najar's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Interactively shaping robot behaviour with unlabeled human instructions (2019) — 23 citations