Josiah P. Hanna

Reinforcement Learning · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 81 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Josiah P. Hanna trusts overall

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

  1. Richard S. Sutton
  2. Philip S. Thomas
  3. Lihong Li
  4. Nan Jiang
  5. Andrew Barto
  6. Stéphane Ross
  7. Satinder Singh
  8. Doina Precup
  9. Alexander L. Strehl
  10. John Schulman

Who trusts Josiah P. Hanna overall

  1. Ofir Nachum
  2. Michael R. Zhang
  3. Ilya Kostrikov
  4. Nan Jiang
  5. Masatoshi Uehara
  6. Mehrdad Farajtabar
  7. Cameron Voloshin
  8. Yevgen Chebotar
  9. Ali Mousavi
  10. Ziyang Tang

Papers from Josiah P. Hanna's perspective

Ordered by how strongly the researchers Josiah P. Hanna 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Reinforcement Learning: An Introduction
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers