Stefan Faußer

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Faußer trusts overall

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

  1. Leemon C. Baird III
  2. Radford M. Neal
  3. Bruno Scherrer
  4. Friedhelm Schwenker
  5. Richard S. Sutton
  6. Hans A. Kestler
  7. Dimitri P. Bertsekas
  8. John N. Tsitsiklis
  9. Andrew Barto
  10. Günther Palm

Who trusts Stefan Faußer overall

  1. Rishabh Agarwal
  2. Stefan Elfwing
  3. Daniel Hein
  4. A. Su
  5. Dale Schuurmans
  6. Mohammad Norouzi
  7. Eiji Uchibe
  8. Dale Schuurmans
  9. Alexander Hentschel
  10. Jayden Ooi

Papers from Stefan Faußer's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Residual Algorithms: Reinforcement Learning with Function Approximation
  3. Pattern Recognition and Machine Learning
  4. Should one compute the Temporal Difference fix point or minimize the Bellman Residual? The unified oblique projection view
  5. An Analysis of Temporal-Difference Learning with Function Approximation
  6. Three learning phases for radial-basis-function networks
  7. Stable Function Approximation in Dynamic Programming
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. Linear Least-Squares algorithms for temporal difference learning
  10. Trust Region Policy Optimization (International Conference on Machine Learning)

Their papers