Roy Fox

Reinforcement Learning · 2015–2023

A researcher in the Science corpus: 9 papers; trusts 117 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

Whom Roy Fox trusts overall

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

  1. E. Todorov
  2. Richard S. Sutton
  3. Csaba Szepesvari
  4. Andrew Barto
  5. Jan Peters
  6. Geoffrey E. Hinton
  7. Mohammad Gheshlaghi Azar
  8. Hado van Hasselt
  9. Doina Precup
  10. Sebastian Thrun

Who trusts Roy Fox overall

  1. Tuomas Haarnoja
  2. Sergey Levine
  3. Ofir Nachum
  4. Bo Dai
  5. Pieter Abbeel
  6. Tanmay Shankar
  7. Kavosh Asadi
  8. Thomas Kipf
  9. Abhinav Kumar Gupta
  10. Matthieu Geist

Papers from Roy Fox's perspective

Ordered by how strongly the researchers Roy Fox 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Reinforcement Learning: An Introduction
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers