Michael Fairbank

Reinforcement Learning · 2008–2017

A researcher in the Science corpus: 4 papers; trusts 48 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Fairbank trusts overall

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

  1. Paul J. Werbos
  2. Richard S. Sutton
  3. Leemon C. Baird III
  4. Kenji Doya
  5. Martin A. Riedmiller
  6. Andrew Barto
  7. Ronald J. Williams
  8. Vijaykumar Gullapalli
  9. Rémi Coulom
  10. Charles M. Bishop

Who trusts Michael Fairbank overall

  1. Michael Janner
  2. Wojciech M. Czarnecki
  3. Eduardo Alonso
  4. Max Jaderberg
  5. Qiyang Li
  6. Sergey Levine
  7. Simon Osindero
  8. Nicolas Manfred Otto Heess
  9. Danil V. Prokhorov
  10. David Balduzzi

Papers from Michael Fairbank's perspective

Ordered by how strongly the researchers Michael Fairbank trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Reinforcement Learning: An Introduction
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers