Martin Felder

Reinforcement Learning · 2008–2010

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Felder trusts overall

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

  1. Jan Peters
  2. Ronald J. Williams
  3. Richard S. Sutton
  4. Jonathan Baxter
  5. Stefan Schaal
  6. Daan Wierstra
  7. Andrew Barto
  8. Peter L. Bartlett

Who trusts Martin Felder overall

  1. J. Urgen Schmidhuber
  2. Tom Schaul
  3. Marc Peter Deisenroth
  4. Rajesh Ranganath
  5. Thomas Rückstieß
  6. Jens Kober
  7. Nikos A. Vlassis
  8. Jan Peters
  9. Frank Sehnke
  10. Yoshua Bengio

Papers from Martin Felder's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  3. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  4. Reinforcement Learning: A Survey
  5. ImageNet classification with deep convolutional neural networks
  6. Policy Gradient Methods for Robotics
  7. Natural Actor-Critic
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers