Péter Englert

Reinforcement Learning · 2013–2018

A researcher in the Science corpus: 4 papers; trusts 77 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Péter Englert trusts overall

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

  1. Andrew Y. Ng
  2. Jan Peters
  3. Richard S. Sutton
  4. Marc Peter Deisenroth
  5. Sergey Levine
  6. Pieter Abbeel
  7. Stefan Schaal
  8. Kenji Doya
  9. Andrew Barto
  10. Geoffrey E. Hinton

Who trusts Péter Englert overall

  1. Marc Peter Deisenroth
  2. Zipeng Fu
  3. Andras Gabor Kupcsik
  4. Chelsea Finn
  5. Linxi (Jim) Fan
  6. Josh Merel
  7. Jan Peters
  8. Tony Zhao
  9. George Dimitri Konidaris
  10. Felipe Codevilla

Papers from Péter Englert's perspective

Ordered by how strongly the researchers Péter Englert 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers