Cody Rioux

Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Cody Rioux trusts overall

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

  1. Chin-Yew Lin
  2. Richard S. Sutton
  3. Michail G. Lagoudakis
  4. Seonggi Ryang
  5. S. Branavan
  6. Andrew Barto
  7. Horacio Saggion
  8. Ronald E. Parr
  9. Takeshi Abekawa
  10. Csaba Szepesvari

Who trusts Cody Rioux overall

  1. Yang Gao
  2. Christian M. Meyer
  3. Iryna Gurevych
  4. Brielen Madureira
  5. Stefan Henß
  6. Yue Dong
  7. Florian Böhm
  8. David Schlangen
  9. Wei Zhao
  10. Margot Mieskes

Papers from Cody Rioux's perspective

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

  1. Reinforcement Learning: An Introduction
  2. ROUGE: A Package for Automatic Evaluation of Summaries
  3. An algorithm for suffix stripping
  4. Gradient-based learning applied to document recognition
  5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Algorithms for Reinforcement Learning
  9. Reinforcement Learning for Mapping Instructions to Actions
  10. Reinforcement Learning as Classification: Leveraging Modern Classifiers

Their papers