Robert Kaplow

Reinforcement Learning · 2010

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Robert Kaplow trusts overall

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

  1. Richard S. Sutton
  2. Dimitri P. Bertsekas
  3. G. Tesauro
  4. Geoffrey J. Gordon
  5. John N. Tsitsiklis
  6. R´emi Munos
  7. Damien Ernst
  8. Csaba Szepesvari
  9. Peter S. Dayan
  10. Andrew Barto

Papers from Robert Kaplow's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Stable Function Approximation in Dynamic Programming
  3. Learning to predict by the methods of temporal differences
  4. Temporal Difference Learning and TD-Gammon
  5. Dynamic Programming and Markov Processes
  6. Reinforcement Learning: A Survey
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet classification with deep convolutional neural networks
  9. Neuro-Dynamic Programming
  10. Asynchronous Stochastic Approximation and Q-Learning

Their papers