Peter Dürr

Artificial Intelligence · 2000–2022

A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Dürr trusts overall

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

  1. Dario Floreano
  2. Claudio Mattiussi
  3. Richard S. Sutton
  4. Risto Miikkulainen
  5. Andrea Soltoggio
  6. Kenneth O. Stanley
  7. Thomas Bäck
  8. Faustino J. Gomez
  9. Kenji Doya
  10. Andrew Barto

Who trusts Peter Dürr overall

  1. Andrea Soltoggio
  2. Sebastian Risi
  3. Kenneth O. Stanley
  4. Paul Tonelli
  5. Jean-Baptiste Mouret
  6. Gerard David Howard
  7. Karim Ahmed
  8. Yuri Lenon Barbosa Nogueira
  9. J. Gustafsson
  10. Oliver J. Coleman

Papers from Peter Dürr's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Learning to predict by the methods of temporal differences
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Evolving Neural Networks through Augmenting Topologies
  9. Mastering the game of Go with deep neural networks and tree search
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers