Nils T. Siebel

2009

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Nils T. Siebel trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. Satinder Singh

Who trusts Nils T. Siebel overall

  1. Brielen Madureira
  2. Andrea Soltoggio
  3. David Schlangen
  4. Kenneth O. Stanley
  5. Sebastian Risi

Papers from Nils T. Siebel's perspective

Ordered by how strongly the researchers Nils T. Siebel 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Learning internal representations by error propagation
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Trust Region Policy Optimization (International Conference on Machine Learning)
  10. Residual Algorithms: Reinforcement Learning with Function Approximation

Their papers