Ronen I. Brafman

Reinforcement Learning · 2001–2011

A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 246 researchers here, as inferred from the citation graph.

Subfields

Whom Ronen I. Brafman trusts overall

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

  1. Michael L. Littman
  2. Leslie Pack Kaelbling
  3. Caroline Claus
  4. J. Urgen Schmidhuber
  5. Michael Kearns
  6. Michael H. Bowling
  7. Sergiu Hart
  8. Craig Boutilier
  9. Richard S. Sutton
  10. R. Fikes

Who trusts Ronen I. Brafman overall

  1. Michael L. Littman
  2. Alexander L. Strehl
  3. Todd Hester
  4. Peter Stone
  5. Lihong Li
  6. Ian Osband
  7. J. Urgen Schmidhuber
  8. Emma Brunskill
  9. Pablo Hernandez-Leal
  10. Sergey Levine

Papers from Ronen I. Brafman's perspective

Ordered by how strongly the researchers Ronen I. Brafman 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Reinforcement Learning: An Introduction
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers