Kathleen M. Jagodnik

Reinforcement Learning · 2008–2021

A researcher in the Science corpus: 7 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kathleen M. Jagodnik trusts overall

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

  1. Kenji Doya
  2. Philip S. Thomas
  3. Andrew Barto
  4. W. B. Knox
  5. Richard S. Sutton
  6. K. Ragnarsson
  7. Michael S. Branicky
  8. Maja J. Mataric
  9. Stefan Schaal
  10. Leslie Pack Kaelbling

Who trusts Kathleen M. Jagodnik overall

  1. Kwok Tai Chui
  2. Philip S. Thomas
  3. Philip Thomas
  4. Chao Yu

Papers from Kathleen M. Jagodnik's perspective

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

  1. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
  2. Reinforcement Learning: A Survey
  3. Et al
  4. ImageNet classification with deep convolutional neural networks
  5. Reinforcement learning
  6. Reinforcement Learning: An Introduction
  7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  8. Visualizing Data using t-SNE
  9. Gradient-based learning applied to document recognition
  10. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning

Their papers