José María Martínez-Martínez

Reinforcement Learning · 2011–2014

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 25 citations into it
• Statistics and Probability — 6 citations into it

Whom José María Martínez-Martínez trusts overall

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

1. Richard S. Sutton
2. Susan A. Murphy
3. Damien Ernst
4. Andrew Barto
5. G. Tesauro
6. Arthur Guez
7. Pierre Geurts
8. Leo Breiman
9. John N. Tsitsiklis
10. Peter J. Rousseeuw

Papers from José María Martínez-Martínez's perspective

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

1. Reinforcement Learning: An Introduction
2. Least-Squares Policy Iteration
3. Kernel-Based Reinforcement Learning
4. Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
5. Tree-Based Batch Mode Reinforcement Learning
6. Algorithms for Reinforcement Learning
7. Bagging Predictors
8. Dynamic Programming and Optimal Control, Two Volume Set
9. Reinforcement Learning and Dynamic Programming Using Function Approximators
10. Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding

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)