Pawel Wawrzynski

Reinforcement Learning · 2007–2013

A researcher in the Science corpus: 5 papers; trusts 54 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Pawel Wawrzynski trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. Ronald J. Williams
  4. John N. Tsitsiklis
  5. Vijay R. Konda
  6. Longxin Lin
  7. Reuven Y. Rubinstein
  8. Hajime Kimura
  9. Jan Peters
  10. Christopher J. C. H. Watkins

Who trusts Pawel Wawrzynski overall

  1. Ivo Grondman
  2. Timothy P. Lillicrap
  3. Ruishan Liu
  4. Hamidreza Modares
  5. Sergey Levine
  6. Adam Gaier
  7. Aravind Rajeswaran
  8. Jelle Munk
  9. Sander Adam
  10. John Schulman

Papers from Pawel Wawrzynski's perspective

Ordered by how strongly the researchers Pawel Wawrzynski 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. Reinforcement Learning: An Introduction
  6. Long Short-Term Memory
  7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers