Theodore J. Perkins

Reinforcement Learning · 1999–2012

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Theodore J. Perkins trusts overall

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

  1. Harold J. Kushner
  2. Richard S. Sutton
  3. John N. Tsitsiklis
  4. G. Tesauro
  5. Geoffrey J. Gordon
  6. Satinder Singh
  7. Andrew Barto
  8. Benjamin Van Roy
  9. Leemon C. Baird III
  10. Tommi S. Jaakkola

Who trusts Theodore J. Perkins overall

  1. George Dimitri Konidaris
  2. Csaba Szepesvari
  3. Alessandro Lazaric
  4. Andrew Barto
  5. Jeremy H. Gillula
  6. Gergely Neu
  7. Emilio Parisotto
  8. Yinlam Chow
  9. Francisco S. Melo
  10. Anayo K. Akametalu

Papers from Theodore J. Perkins's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Reinforcement Learning: An Introduction
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Residual Algorithms: Reinforcement Learning with Function Approximation
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Markov Decision Processes: Discrete Stochastic Dynamic Programming

Their papers