Martin Müller

Reinforcement Learning · with Silver · 2004–2013

A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Müller trusts overall

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

  1. Richard S. Sutton
  2. Rémi Coulom
  3. Sylvain Gelly
  4. David Silver
  5. G. Tesauro
  6. Peter Auer
  7. Stephen W. Carden
  8. Jonathan Baxter
  9. Satinder Singh
  10. N. Schraudolph

Who trusts Martin Müller overall

  1. David Silver
  2. Yuxi Li
  3. Richard S. Sutton
  4. Michael Janner
  5. Csaba Szepesvari
  6. Todd Hester
  7. Sergey Levine
  8. Adam White
  9. Sylvain Gelly
  10. Marc G. Bellemare

Papers from Martin Müller's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. Learning to predict by the methods of temporal differences
  4. Reinforcement Learning: An Introduction
  5. Long Short-Term Memory
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. ImageNet classification with deep convolutional neural networks
  8. An Introduction to Reinforcement Learning
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers