Reda Bahi Slaoui

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Reda Bahi Slaoui trusts overall

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

  1. Richard S. Sutton
  2. John Schulman
  3. Aravind Rajeswaran
  4. Volodymyr Mnih
  5. Michal Kempka
  6. Sergey Levine
  7. Joshua Tobin
  8. Geoffrey E. Hinton
  9. Pieter Abbeel
  10. Diederik P. Kingma

Papers from Reda Bahi Slaoui's perspective

Ordered by how strongly the researchers Reda Bahi Slaoui trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Human-level control through deep reinforcement learning
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers