Richard Dearden

Artificial Intelligence · 1997–2017

A researcher in the Science corpus: 7 papers; trusts 14 researchers and is trusted by 110 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Dearden trusts overall

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

  1. Martin L. Puterman
  2. Dimitri P. Bertsekas
  3. Richard S. Sutton
  4. Leslie Pack Kaelbling
  5. Craig Boutilier
  6. David E. Heckerman
  7. Wray L. Buntine
  8. Andrew Barto
  9. Ryuichi Oka
  10. Michael L. Littman

Who trusts Richard Dearden overall

  1. Craig Boutilier
  2. Csaba Szepesvari
  3. Malcolm J. A. Strens
  4. Pedro A. Ortega
  5. Michael L. Littman
  6. Scott Sanner
  7. Lihong Li
  8. Shie Mannor
  9. Kavosh Asadi
  10. David Abel

Papers from Richard Dearden's perspective

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

  1. Dynamic Programming and Markov Processes
  2. ImageNet classification with deep convolutional neural networks
  3. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Reinforcement Learning: An Introduction
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. Information Theory: 1948-1998 - Guest Editorial
  10. Long Short-Term Memory

Their papers