Michiel van der Ree

Reinforcement Learning · 2013

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michiel van der Ree trusts overall

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

  1. Richard S. Sutton
  2. Gavin Adrian Rummery
  3. Christopher J. C. H. Watkins
  4. Nees Jan van Eck
  5. Peter S. Dayan
  6. G. Tesauro
  7. Mahesan Niranjan
  8. M. V. Wezel
  9. Sebastian Thrun
  10. Andrew Barto

Papers from Michiel van der Ree's perspective

Ordered by how strongly the researchers Michiel van der Ree trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. Temporal Difference Learning and TD-Gammon
  3. On-line Q-learning using connectionist systems
  4. Learning to predict by the methods of temporal differences
  5. Q-learning
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. AND T
  10. ImageNet classification with deep convolutional neural networks

Their papers