Joan Vila-Francés
Reinforcement Learning · 2006–2021
A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 25 citations into it
- Analytical Chemistry — 8 citations into it; #463 of 1,254 by trust here, #259 by citations
- Statistics and Probability — 8 citations into it
- Media Technology — 6 citations into it; #1,485 of 3,621 by trust here, #897 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Joan Vila-Francés trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Joan Vila-Francés overall
Papers from Joan Vila-Francés's perspective
Ordered by how strongly the researchers Joan Vila-Francés trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Least-Squares Policy Iteration
- Bagging Predictors
- Kernel-Based Reinforcement Learning
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
- Tree-Based Batch Mode Reinforcement Learning
- Algorithms for Reinforcement Learning
- Introduction to Support Vector Machines
- Dynamic Programming and Optimal Control, Two Volume Set
Their papers
- Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques (2021) — 58 citations
- 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)
- Composite kernels for hyperspectral image classification (2006) — 1,095 citations