Eduardo Alonso

Reinforcement Learning · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Eduardo Alonso 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. Andrew Barto
  6. Ronald J. Williams
  7. Michael Fairbank
  8. Ben J. A. Kröse
  9. Martin A. Riedmiller
  10. Peter S. Dayan

Who trusts Eduardo Alonso overall

  1. Wojciech M. Czarnecki
  2. Max Jaderberg
  3. Michael Fairbank
  4. Simon Osindero
  5. Nicolas Manfred Otto Heess
  6. David Balduzzi
  7. Yuxi Li
  8. Grzegorz Swirszcz

Papers from Eduardo Alonso's perspective

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

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

Their papers