Matt Kretchmar

2002

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Matt Kretchmar trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. Michael L. Littman

Who trusts Matt Kretchmar overall

  1. Simon Schmitt
  2. Enda Barrett
  3. Xinle Liang

Papers from Matt Kretchmar's perspective

Ordered by how strongly the researchers Matt Kretchmar 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. Residual Algorithms: Reinforcement Learning with Function Approximation
  4. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  5. Learning internal representations by error propagation
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Stable Function Approximation in Dynamic Programming
  9. ImageNet classification with deep convolutional neural networks
  10. Markov Decision Processes: Discrete Stochastic Dynamic Programming

Their papers