Alexander A. Sherstov

Reinforcement Learning · 2005–2008

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander A. Sherstov trusts overall

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

  1. Richard S. Sutton
  2. Thomas G. Dietterich
  3. Oded Regev
  4. Leslie G. Valiant
  5. Andrew Barto
  6. G. Tesauro
  7. Michael Kearns
  8. Adam R. Klivans
  9. Peter Stone
  10. Ben J. A. Kröse

Who trusts Alexander A. Sherstov overall

  1. Oded Regev
  2. Vitaly Feldman
  3. Yuchen Zhang
  4. Shai Shalev-Shwartz
  5. Amit Daniely
  6. Thomas J. Walsh
  7. Surbhi Goel
  8. Behnam Neyshabur
  9. Alessandro Lazaric
  10. Jason D. Lee

Papers from Alexander A. Sherstov's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. The perceptron: a probabilistic model for information storage and organization in the brain.
  5. A theory of the learnable
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
  10. ImageNet: A large-scale hierarchical image database

Their papers