David Andre

Reinforcement Learning · 1997–2002

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom David Andre trusts overall

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

  1. David E. Heckerman
  2. Thomas G. Dietterich
  3. Ronald E. Parr
  4. Richard S. Sutton
  5. Prasad Tadepalli
  6. Stuart J. Russell
  7. Leslie Pack Kaelbling
  8. Wray L. Buntine
  9. DoKyeong Ok
  10. Scott Davies

Who trusts David Andre overall

  1. Malcolm J. A. Strens
  2. Bhaskara Marthi
  3. Matthew E. Taylor
  4. Bernhard Hengst
  5. Andres Perez-Uribe
  6. Peter Stone
  7. David Silver
  8. Michael L. Littman
  9. Lihong Li
  10. Jacob Andreas

Papers from David Andre's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Reinforcement Learning: An Introduction
  7. Neural Networks for Pattern Recognition
  8. Reinforcement Learning with Hierarchies of Machines
  9. Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers