Leonid Peshkin

Reinforcement Learning · 1999–2017

A researcher in the Science corpus: 9 papers; trusts 20 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Leonid Peshkin trusts overall

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

  1. Leemon C. Baird III
  2. Richard S. Sutton
  3. Ronald J. Williams
  4. Michael L. Littman
  5. Reuven Y. Rubinstein
  6. Nicolas Meuleau
  7. Ben J. A. Kröse
  8. Martin L. Puterman
  9. Andrew Barto
  10. Satinder Singh

Who trusts Leonid Peshkin overall

  1. Sergey Levine
  2. Douglas Aberdeen
  3. J. Urgen Schmidhuber
  4. Pawel Wawrzynski
  5. Susan A. Murphy
  6. Jan Peters
  7. Travis Mandel
  8. Pieter Abbeel
  9. Aviral Kumar
  10. Jonathan Baxter

Papers from Leonid Peshkin's perspective

Ordered by how strongly the researchers Leonid Peshkin 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. Reinforcement Learning: An Introduction
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Residual Algorithms: Reinforcement Learning with Function Approximation
  10. Markov Decision Processes: Discrete Stochastic Dynamic Programming

Their papers