Harm van Seijen

Reinforcement Learning · 2009–2022

A researcher in the Science corpus: 11 papers; trusts 112 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Harm van Seijen trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. Andrew W. Moore
  4. Ben J. A. Kröse
  5. Satinder Singh
  6. Longxin Lin
  7. Michael L. Littman
  8. George Dimitri Konidaris
  9. Christopher G. Atkeson
  10. Dimitri P. Bertsekas

Who trusts Harm van Seijen overall

  1. A. Mahmood
  2. Hado van Hasselt
  3. Martha White
  4. Richard S. Sutton
  5. Adam White
  6. Ani Harutyunyan
  7. Yuxi Li
  8. Haiyan Yin
  9. Ionel-Alexandru Hosu
  10. Huizhen Yu

Papers from Harm van Seijen's perspective

Ordered by how strongly the researchers Harm van Seijen 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. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Reinforcement Learning: An Introduction
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers