Florian Röhrbein

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Florian Röhrbein trusts overall

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

  1. E. Todorov
  2. Olivier Sigaud
  3. Duy Nguyen-Tuong
  4. Freek Stulp
  5. Evangelos A. Theodorou
  6. Todd Hester
  7. Richard S. Sutton
  8. Jan Peters
  9. Matthew D. Luciw
  10. Geoffrey E. Hinton

Papers from Florian Röhrbein's perspective

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

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Least-Squares Policy Iteration
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. Attention is All you Need (Neural Information Processing Systems)
  10. PILCO: A Model-Based and Data-Efficient Approach to Policy Search

Their papers