Bethany R. Leffler

Reinforcement Learning · 2008

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Bethany R. Leffler trusts overall

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

  1. Sham M. Kakade
  2. Michael Kearns
  3. Pieter Abbeel
  4. Ronen I. Brafman
  5. Alexander L. Strehl
  6. Andrew Y. Ng

Who trusts Bethany R. Leffler overall

  1. J. Langford
  2. Lihong Li
  3. Alexander L. Strehl
  4. Michael L. Littman

Papers from Bethany R. Leffler's perspective

Ordered by how strongly the researchers Bethany R. Leffler 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Near-Optimal Reinforcement Learning in Polynomial Time
  8. Stable Function Approximation in Dynamic Programming
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers