Daniel Polani

Reinforcement Learning · 2005–2013

A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Polani trusts overall

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

  1. Andrew Barto
  2. Richard S. Sutton
  3. Malcolm J. A. Strens
  4. Peter M. Bentler
  5. Naftali Tishby
  6. Stephen W. Carden
  7. Karl J. Friston
  8. Florentin Wörgötter
  9. J. Urgen Schmidhuber
  10. Ronen I. Brafman

Who trusts Daniel Polani overall

  1. Shakir Mohamed
  2. Karl J. Friston
  3. Danilo Jimenez Rezende
  4. Christoph Salge
  5. Karol Gregor
  6. Sainbayar Sukhbaatar
  7. J. Urgen Schmidhuber
  8. Jacqueline Gottlieb
  9. Cornelius Glackin
  10. Sergey Levine

Papers from Daniel Polani's perspective

Ordered by how strongly the researchers Daniel Polani 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. Information Theory: 1948-1998 - Guest Editorial
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Curious model-building control systems
  10. Intrinsically Motivated Reinforcement Learning

Their papers