José David Martín-Guerrero

Reinforcement Learning · 2004–2014

A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 28 citations into it
• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Statistics and Probability — 7 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Statistical Learning Theory — 6 citations into it
• Optimization & Training — 5 citations into it

Whom José David Martín-Guerrero trusts overall

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

1. Dimitri P. Bertsekas
2. Richard S. Sutton
3. Paul J. Werbos
4. Ian T. Jolliffe
5. Teuvo Kohonen
6. Andrew Barto
7. Michael T. Gastner
8. Vladimir Naumovich Vapnik
9. Chris H. Q. Ding
10. Susan A. Murphy

Who trusts José David Martín-Guerrero overall

1. Pierre Humbert
2. Alfredo Vellido
3. Pablo Escandell-Montero
4. Cynthia Rudin
5. Guolong Su
6. Jessica Taylor
7. Gustau Camps-Valls

Papers from José David Martín-Guerrero's perspective

Ordered by how strongly the researchers José David Martín-Guerrero trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Neural Networks for Pattern Recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Support-Vector Networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. A training algorithm for optimal margin classifiers
10. Neuro-Dynamic Programming

Their papers

• Optimization of anemia treatment in hemodialysis patients via reinforcement learning (2014) — 91 citations
• Making machine learning models interpretable (2012) — 316 citations
• Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach (2011)
• A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients (2009) — 61 citations
• Validation of a Reinforcement Learning Policy for Dosage Optimization of Erythropoietin (2007) — 5 citations
• Robust support vector method for hyperspectral data classification and knowledge discovery (2004) — 305 citations