Frank Kirchner

1997

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Frank Kirchner trusts overall

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

  1. Leslie Pack Kaelbling
  2. Ben J. A. Kröse
  3. Longxin Lin
  4. David E. Rumelhart

Who trusts Frank Kirchner overall

  1. Jun Morimoto
  2. Jens Kober
  3. Kenji Doya
  4. J. Bagnell
  5. Jan Peters

Papers from Frank Kirchner's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  4. Neural Turing Machines
  5. Feudal Reinforcement Learning
  6. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  7. Dynamic Programming and Markov Processes
  8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Matching Networks for One Shot Learning

Their papers