Adrian K. Agogino

Reinforcement Learning · 2002–2016

A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Adrian K. Agogino trusts overall

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

  1. Richard S. Sutton
  2. Kagan Tumer
  3. David Hilton Wolpert
  4. Andrew Barto
  5. G. Tesauro
  6. Carlos Guestrin
  7. Peter Stone
  8. Christopher J. C. H. Watkins
  9. Geoffrey E. Hinton
  10. Michael L. Littman

Who trusts Adrian K. Agogino overall

  1. Kagan Tumer
  2. Laëtitia Matignon
  3. Pablo Hernandez-Leal
  4. Yihan Wang
  5. Karl Tuyls
  6. Scott Proper
  7. Afshin Oroojlooyjadid
  8. Guillaume J. Laurent
  9. Mitchell K. Colby
  10. Beining Han

Papers from Adrian K. Agogino's perspective

Ordered by how strongly the researchers Adrian K. Agogino 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. Human-level control through deep reinforcement learning
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers