Alan Malek

Reinforcement Learning · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Alan Malek trusts overall

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

  1. D. Farias
  2. Richard S. Sutton
  3. Benjamin Van Roy
  4. Nicolò Cesa-Bianchi
  5. Jyrki Kivinen
  6. Hamid Reza Maei
  7. Michael H. Veatch
  8. Dimitri P. Bertsekas
  9. Jacob D. Abernethy
  10. Martin A. Zinkevich

Who trusts Alan Malek overall

  1. Yichen Chen
  2. Mengdi Wang
  3. Bo Dai
  4. Albert Eaton Shaw
  5. Lihong Li

Papers from Alan Malek's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Generalized polynomial approximations in Markovian decision processes

Their papers