Trey Smith

Conference on Uncertainty in Artificial Intelligence · 2004–2005

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Whom Trey Smith trusts overall

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

  1. R´emi Munos
  2. K. Åström
  3. Reid G. Simmons
  4. Leslie Pack Kaelbling
  5. Joelle Pineau
  6. Richard S. Sutton
  7. Andrew Barto

Who trusts Trey Smith overall

  1. Stéphane Ross
  2. Joelle Pineau
  3. Matthijs T. J. Spaan
  4. David Hsu
  5. Susannah Young
  6. Adhiraj Somani
  7. S. W. Ong
  8. Wee Sun Lee
  9. Hanna Kurniawati
  10. David Silver

Papers from Trey Smith's perspective

Ordered by how strongly the researchers Trey Smith 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. Error Bounds for Approximate Value Iteration
  4. The optimal control of par-tially observable Markov processes
  5. Reinforcement Learning: An Introduction
  6. Gradient-based learning applied to document recognition
  7. Optimal control of Markov processes with incomplete state information
  8. Heuristic Search Value Iteration for POMDPs
  9. Learning Multiple Layers of Features from Tiny Images
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers