Marc Sarfati

Reinforcement Learning · 2017

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

Subfields

Whom Marc Sarfati trusts overall

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

  1. Richard S. Sutton
  2. Ronald J. Williams
  3. Diederik P. Kingma
  4. Doina Precup

Papers from Marc Sarfati's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  3. This PDF file includes: Materials and Methods
  4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  5. Learning Deep Architectures for AI
  6. Deep Learning
  7. Extracting and composing robust features with denoising autoencoders
  8. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  9. The Helmholtz Machine
  10. ImageNet classification with deep convolutional neural networks

Their papers