Salah Sukkarieh

Reinforcement Learning · 2001–2018

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 10 citations into it
• Artificial Intelligence — 9 citations into it; #34,895 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #5,806 of 21,575 by trust here, #15,162 by citations
• Aerospace Engineering — 5 citations into it; #760 of 6,421 by trust here, #2,921 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Salah Sukkarieh trusts overall

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

1. David G. Lowe
2. Christopher Evans
3. Andrew J. Davison
4. Richard S. Sutton
5. Lehel Csató
6. Yaakov Engel
7. Andrew Barto
8. Gavin Adrian Rummery
9. Jing Peng
10. Thomas Kollar

Who trusts Salah Sukkarieh overall

1. Frank Dellaert
2. Raul Mur-Artal
3. Zichao Zhang
4. Mingyang Li
5. Tong Qin
6. Ross Hartley
7. Christian Forster
8. Davide Scaramuzza
9. Carlos Campos
10. Juan D. Tardós

Papers from Salah Sukkarieh's perspective

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

1. Reinforcement Learning: An Introduction
2. Distinctive Image Features from Scale-Invariant Keypoints
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. On-line Q-learning using connectionist systems
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Notes on the OpenSURF Library
9. Introduction to Reinforcement Learning
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Learning to soar: Resource-constrained exploration in reinforcement learning (2015) — 42 citations
• Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review (2018) — 1,268 citations
• Visual-Inertial-Aided Navigation for High-Dynamic Motion in Built Environments Without Initial Conditions (2012) — 464 citations
• The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications (2001) — 493 citations