Ann Nowé

Reinforcement Learning · 2003–2019

A researcher in the Science corpus: 19 papers; trusts 72 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Ann Nowé trusts overall

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

  1. Richard S. Sutton
  2. Michael L. Littman
  3. Ronald J. Williams
  4. Andrew Barto
  5. Martin A. Zinkevich
  6. John N. Tsitsiklis
  7. Satinder Singh
  8. Craig Boutilier
  9. Caroline Claus
  10. Ben J. A. Kröse

Who trusts Ann Nowé overall

  1. R´emi Munos
  2. B. '. Pires
  3. Yasin Abbasi-Yadkori
  4. Julian Reiss
  5. Zhang-Wei Hong
  6. Herke Van Hoof
  7. Jingjing Cui
  8. Yann-Michaël De Hauwere
  9. Yujing Hu
  10. Karl Tuyls

Papers from Ann Nowé's perspective

Ordered by how strongly the researchers Ann Nowé 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers