Shahab Kaynama

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shahab Kaynama trusts overall

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

  1. Ian M. Mitchell
  2. J. Kolter
  3. Jeremy H. Gillula
  4. Morgan Quigley
  5. Alan Genz
  6. Claire Jennifer Tomlin
  7. Theodore J. Perkins
  8. Andrew Y. Ng
  9. Michael Kearns
  10. Andrew Barto

Who trusts Shahab Kaynama overall

  1. Felix Berkenkamp
  2. Somil Bansal
  3. Shangding Gu

Papers from Shahab Kaynama's perspective

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

  1. Trust Region Policy Optimization (International Conference on Machine Learning)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Near-Optimal Reinforcement Learning in Polynomial Time
  5. Gradient-based learning applied to document recognition
  6. Reinforcement Learning: An Introduction
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. An Application of Reinforcement Learning to Aerobatic Helicopter Flight
  10. Learning Multiple Layers of Features from Tiny Images

Their papers