Bob Price

Reinforcement Learning · with Boutilier · 2001–2017

A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Bob Price trusts overall

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

  1. Richard S. Sutton
  2. Leslie Pack Kaelbling
  3. Andrew Barto
  4. Thomas G. Dietterich
  5. Martin L. Puterman
  6. Craig Boutilier
  7. Maja J. Mataric
  8. Dimitri P. Bertsekas
  9. Andrew W. Moore
  10. Richard Dearden

Who trusts Bob Price overall

  1. Matthew E. Taylor
  2. Peter Stone
  3. Sonia Chernova
  4. W. B. Knox
  5. Manuela M. Veloso
  6. Martijn van Otterlo
  7. Kunal Menda
  8. Michael Kelly
  9. Alan Fern
  10. Katherine Rose Driggs-Campbell

Papers from Bob Price's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Reinforcement Learning: An Introduction
  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. Attention is All you Need (Neural Information Processing Systems)
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. Learning Multiple Layers of Features from Tiny Images
  10. Markov Decision Processes: Discrete Stochastic Dynamic Programming

Their papers