András Antos

Reinforcement Learning · 2001–2007

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 93 researchers here, as inferred from the citation graph.

Subfields

Whom András Antos trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey J. Gordon
  3. Michail G. Lagoudakis
  4. R´emi Munos
  5. Colin J. H. McDiarmid
  6. Csaba Szepesvari
  7. Andrew Barto
  8. David Haussler
  9. Bin Yu
  10. Martin A. Riedmiller

Who trusts András Antos overall

  1. Csaba Szepesvari
  2. Amir-massoud Farahmand
  3. Bruno Scherrer
  4. Nathan Kallus
  5. Alekh Agarwal
  6. Nan Jiang
  7. Alessandro Lazaric
  8. Kamyar Azizzadenesheli
  9. Matthieu Geist
  10. Ofir Nachum

Papers from András Antos's perspective

Ordered by how strongly the researchers András Antos 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers