Larry Rudolph

Reinforcement Learning · 1986–2020

A researcher in the Science corpus: 8 papers; trusts 23 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Larry Rudolph trusts overall

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

  1. John Schulman
  2. Sham M. Kakade
  3. Ronald J. Williams
  4. Diederik P. Kingma
  5. Richard S. Sutton
  6. A. Yoo
  7. Sergey Levine
  8. Geoffrey E. Hinton
  9. Michael I. Jordan
  10. Jan Peters

Who trusts Larry Rudolph overall

  1. Michael Isard
  2. Í. Goiri
  3. Jichuan Chang
  4. Onur Mutlu

Papers from Larry Rudolph's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Reinforcement Learning: An Introduction
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. ImageNet: A large-scale hierarchical image database
  10. Trust Region Policy Optimization (International Conference on Machine Learning)

Their papers