Gregory Kuhlmann

Reinforcement Learning · 2005–2008

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Gregory Kuhlmann trusts overall

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

  1. Richard S. Sutton
  2. Peter Stone
  3. Matthew E. Taylor
  4. James S. Albus
  5. Gavin Adrian Rummery
  6. Andrew Barto
  7. Satinder Singh
  8. Mahesan Niranjan
  9. Geoffrey J. Gordon
  10. G. Tesauro

Who trusts Gregory Kuhlmann overall

  1. Matthew E. Taylor
  2. Peter Stone
  3. Shimon Whiteson
  4. Haitham Bou-Ammar
  5. Shivaram Kalyanakrishnan
  6. Yaxin Liu
  7. Lilyana Mihalkova
  8. Saminda Abeyruwan
  9. Joseph Mitola III
  10. Alessandro Lazaric

Papers from Gregory Kuhlmann's perspective

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

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  7. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. On-line Q-learning using connectionist systems

Their papers