Aldo A. Faisal

Reinforcement Learning · 2008–2019

A researcher in the Science corpus: 10 papers; trusts 17 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Aldo A. Faisal trusts overall

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

  1. Richard S. Sutton
  2. D. M. Wolpert
  3. E. Todorov
  4. Philip S. Thomas
  5. Simon Barry Laughlin
  6. Nan Jiang
  7. Michael I. Jordan
  8. Andrew Barto
  9. David J. Field
  10. Zoubin Ghahramani

Who trusts Aldo A. Faisal overall

  1. Joseph D. Futoma
  2. Chao Yu
  3. Luchen Li
  4. Matthieu Komorowski
  5. E. T. Rolls
  6. Nathan Kallus
  7. Michael C. Hughes
  8. Ziyang Tang
  9. Jeff Hawkins

Papers from Aldo A. Faisal's perspective

Ordered by how strongly the researchers Aldo A. Faisal 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. Reinforcement Learning: An Introduction
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers