Trond Grenager

Reinforcement Learning · 2002–2007

A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 182 researchers here, as inferred from the citation graph.

Subfields

Whom Trond Grenager trusts overall

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

  1. Michael L. Littman
  2. Drew Fudenberg
  3. Martin J. Osborne
  4. Dayne Freitag
  5. Andrew McCallum
  6. Lawrence R. Rabiner
  7. Christopher J. C. H. Watkins
  8. Richard S. Sutton
  9. Dekang Lin
  10. John D. Lafferty

Who trusts Trond Grenager overall

  1. Christopher D. Manning
  2. Karl Tuyls
  3. Xiao Ling
  4. Bill MacCartney
  5. Percy Liang
  6. Jacob Eisenstein
  7. Andrew McCallum
  8. Yahui Chen
  9. Charles Sutton
  10. Kai Hong

Papers from Trond Grenager's perspective

Ordered by how strongly the researchers Trond Grenager 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. Reinforcement Learning: An Introduction
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers