Emilio Soria-Olivas

Reinforcement Learning · 2004–2014

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 28 citations into it
• Artificial Intelligence — 18 citations into it
• Statistical Learning Theory — 6 citations into it
• Statistics and Probability — 6 citations into it

Whom Emilio Soria-Olivas trusts overall

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

1. Richard S. Sutton
2. Dimitri P. Bertsekas
3. Paul J. Werbos
4. Andrew Barto
5. Vladimir Naumovich Vapnik
6. Susan A. Murphy
7. Damien Ernst

Who trusts Emilio Soria-Olivas overall

1. Pierre Humbert

Papers from Emilio Soria-Olivas's perspective

Ordered by how strongly the researchers Emilio Soria-Olivas trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Neural Networks for Pattern Recognition
3. Support-Vector Networks
4. Least-Squares Policy Iteration
5. Neuro-Dynamic Programming
6. Bagging Predictors
7. A training algorithm for optimal margin classifiers
8. Kernel-Based Reinforcement Learning
9. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
10. Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method

Their papers

• Optimization of anemia treatment in hemodialysis patients via reinforcement learning (2014) — 91 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