Scott Kuindersma

Reinforcement Learning · 2010–2018

A researcher in the Science corpus: 7 papers; trusts 33 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Scott Kuindersma trusts overall

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

  1. Daniel J. Lizotte
  2. Richard S. Sutton
  3. Andrew Barto
  4. George Dimitri Konidaris
  5. Jan Peters
  6. Russ Tedrake
  7. Andrew Y. Ng
  8. Stefan Schaal
  9. J. Kolter
  10. Eric Brochu

Who trusts Scott Kuindersma overall

  1. Jens Kober
  2. George Dimitri Konidaris
  3. Scott Niekum
  4. Sergey Levine
  5. Teodor Mihai Moldovan
  6. J. Bagnell
  7. Oliver Kroemer
  8. Jan Peters
  9. Andrew Barto
  10. Pieter Abbeel

Papers from Scott Kuindersma's perspective

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

Their papers