Thomas Lampe

Reinforcement Learning · 2013–2025

A researcher in the Science corpus: 9 papers; trusts 80 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Lampe trusts overall

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

  1. Martin A. Riedmiller
  2. Richard S. Sutton
  3. Geoffrey J. Gordon
  4. Nathan D. Ratliff
  5. Diederik P. Kingma
  6. Stefan Schaal
  7. Andrew Barto
  8. Freek Stulp
  9. David Silver
  10. Roland Hafner

Who trusts Thomas Lampe overall

  1. Michael Janner
  2. Sergey Levine
  3. Abhishek Gupta
  4. Herke Van Hoof
  5. Chelsea Finn
  6. Deepak Pathak
  7. Qiyang Li
  8. Pieter Abbeel
  9. Igor Mordatch
  10. Trevor Darrell

Papers from Thomas Lampe's perspective

Ordered by how strongly the researchers Thomas Lampe 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers