Pablo Escandell-Montero

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 Pablo Escandell-Montero trusts overall

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

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

Who trusts Pablo Escandell-Montero overall

1. Chao Yu

Papers from Pablo Escandell-Montero's perspective

Ordered by how strongly the researchers Pablo Escandell-Montero trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Least-Squares Policy Iteration
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. Long Short-Term Memory
9. Human-level control through deep reinforcement learning
10. Residual Algorithms: Reinforcement Learning with Function Approximation

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)