P. Hilgers

Reinforcement Learning · 2007

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom P. Hilgers trusts overall

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

  1. Martin A. Riedmiller
  2. Rémi Coulom
  3. Yaakov Engel
  4. Richard S. Sutton
  5. Carl E. Rasmussen

Papers from P. Hilgers's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Gaussian Processes in Reinforcement Learning
  3. Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
  4. Reinforcement learning with Gaussian processes
  5. Learning to Control an Octopus Arm with Gaussian Process Temporal Difference Methods
  6. Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
  7. Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp
  8. Reinforcement Learning Using Neural Networks, with Applications to Motor Control
  9. Practical Reinforcement Learning in Continuous Spaces
  10. ImageNet classification with deep convolutional neural networks

Their papers