Elena Daskalaki
Reinforcement Learning · 2010–2016
A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 16 citations into it
- Artificial Intelligence — 10 citations into it
- Endocrinology, Diabetes and Metabolism — 8 citations into it; #51 of 623 by trust here, #347 by citations
- Surgery — 6 citations into it; #80 of 1,106 by trust here, #636 by citations
- Control and Systems Engineering — 5 citations into it
Whom Elena Daskalaki trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- John N. Tsitsiklis
- Vijay R. Konda
- Atul J. Butte
- Dimitri P. Bertsekas
- Mariano De Paula
- Boris P. Kovatchev
- Benjamin Van Roy
- Andrew Barto
- Peter Diem
Who trusts Elena Daskalaki overall
- Iván Contreras
- Mariano De Paula
- Chao Yu
- Josep Vehí
- Gerardo Gabriel Acosta
- Peter Diem
- Jiming Liu
- Ian Fox
- Susan A. Murphy
- Ernesto C. Martínez
Papers from Elena Daskalaki's perspective
Ordered by how strongly the researchers Elena Daskalaki trusts endorse each paper. Same corpus, a different order for every researcher.
- Actor-Critic Algorithms
- Learning to predict by the methods of temporal differences
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Neuro-Dynamic Programming
- Reinforcement Learning: An Introduction
- An Analysis of Temporal-Difference Learning with Function Approximation
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- An Actor-Critic based controller for glucose regulation in type 1 diabetes
Their papers
- An Actor-Critic based controller for glucose regulation in type 1 diabetes (2013) — 49 citations
- Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes (2016) — 67 citations
- Personalized tuning of a reinforcement learning control algorithm for glucose regulation (2013) — 35 citations
- Preliminary results of a novel approach for glucose regulation using an Actor-Critic learning based controller (2010) — 10 citations