Sam Devlin

Reinforcement Learning · 2011–2023

A researcher in the Science corpus: 7 papers; trusts 36 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Sam Devlin trusts overall

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

  1. Richard S. Sutton
  2. Eric Wiewiora
  3. Maja J. Mataric
  4. Andrew Barto
  5. Andrew Y. Ng
  6. Michael L. Littman
  7. Peter Stone
  8. Christopher J. C. H. Watkins
  9. Junling Hu
  10. Martin L. Puterman

Who trusts Sam Devlin overall

  1. Patrick Mannion
  2. Akifumi Wachi
  3. Zhuangdi Zhu
  4. Adam Eck
  5. Afshin Oroojlooyjadid
  6. Yunqi Zhao
  7. Jim Duggan
  8. Kaixiang Lin
  9. Leen-Kiat Soh
  10. Enda Howley

Papers from Sam Devlin's perspective

Ordered by how strongly the researchers Sam Devlin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers