Assaf Hallak

Reinforcement Learning · 2013–2017

A researcher in the Science corpus: 7 papers; trusts 63 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Assaf Hallak trusts overall

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

  1. Dimitri P. Bertsekas
  2. Richard S. Sutton
  3. Huizhen Yu
  4. Martin L. Puterman
  5. Andrew Barto
  6. Leemon C. Baird III
  7. A. Mahmood
  8. Doina Precup
  9. R´emi Munos
  10. Sham M. Kakade

Who trusts Assaf Hallak overall

  1. Shangtong Zhang
  2. Sergey Levine
  3. Aviral Kumar
  4. Ashvin Nair
  5. Bo Liu
  6. Martha White
  7. Shimon Whiteson
  8. A. Mahmood
  9. Huizhen Yu
  10. Ofir Nachum

Papers from Assaf Hallak's perspective

Ordered by how strongly the researchers Assaf Hallak 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. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers