Alexander Förster

Reinforcement Learning · 2007–2014

A researcher in the Science corpus: 7 papers; trusts 22 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Förster trusts overall

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

  1. Sepp Hochreiter
  2. J. Urgen Schmidhuber
  3. Ronald J. Williams
  4. Richard S. Sutton
  5. Sebastian Thrun
  6. Alex Graves
  7. Jan Peters
  8. Yoshua Bengio
  9. Mike Schuster
  10. Andrew Barto

Who trusts Alexander Förster overall

  1. J. Urgen Schmidhuber
  2. Ludovic Denoyer
  3. Matthew J. Hausknecht
  4. Sergey Levine
  5. Nicolas Manfred Otto Heess
  6. Yoshua Bengio
  7. Pieter Abbeel
  8. Marvin Zhang
  9. Chelsea Finn
  10. John Schulman

Papers from Alexander Förster's perspective

Ordered by how strongly the researchers Alexander Förster 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. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers