Barros Netto

2008

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

Whom Barros Netto trusts overall

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

1. William D. Smart
2. Kurt Driessens
3. Richard S. Sutton
4. Saif J Fakih
5. Andrew Barto

Who trusts Barros Netto overall

1. Yuan Ling
2. Chao Yu

Papers from Barros Netto's perspective

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

1. Reinforcement Learning: An Introduction
2. Making Reinforcement Learning Work on Real Robots
3. A Reinforcement Learning Framework for Medical Image Segmentation
4. Neuronlike adaptive elements that can solve difficult learning control problems
5. Relational reinforcement learning
6. LEAD: a methodology for learning efficient approaches to medical diagnosis
7. Reinforcement Learning: A Survey
8. Learning from delayed rewards
9. Learning from delayed rewards
10. Stable Function Approximation in Dynamic Programming

Their papers

• Application on Reinforcement Learning for Diagnosis Based on Medical Image (2008) — 21 citations