Marek Petrik

Reinforcement Learning · 2008–2021

A researcher in the Science corpus: 9 papers; trusts 101 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Marek Petrik trusts overall

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

  1. Martin L. Puterman
  2. Garud N. Iyengar
  3. Richard S. Sutton
  4. Geoffrey J. Gordon
  5. Florian Heiss
  6. John N. Tsitsiklis
  7. Wolfram Wiesemann
  8. Sham M. Kakade
  9. Dimitri P. Bertsekas
  10. Andrew Barto

Who trusts Marek Petrik overall

  1. Mohammad Ghavamzadeh
  2. Yinlam Chow
  3. Romain Laroche
  4. Yonathan Efroni
  5. Amit Dhurandhar
  6. Josiah P. Hanna
  7. Bruno Scherrer
  8. Daniel S. Brown
  9. Scott Niekum
  10. Gal Dalal

Papers from Marek Petrik's perspective

Ordered by how strongly the researchers Marek Petrik 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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