Donghun Lee

Reinforcement Learning · with Powell · 2012–2018

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Donghun Lee trusts overall

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

  1. John N. Tsitsiklis
  2. Hado van Hasselt
  3. G. Tesauro
  4. Richard S. Sutton
  5. Mohammad Gheshlaghi Azar
  6. Zhenzhong Yang
  7. Csaba Szepesvari
  8. Peter Auer
  9. Tommi S. Jaakkola
  10. Jeffrey O. Kephart

Who trusts Donghun Lee overall

  1. Che Wang
  2. Roy Fox
  3. Carlo D'Eramo
  4. Zijian Zhou
  5. Ari Pakman

Papers from Donghun Lee's perspective

Ordered by how strongly the researchers Donghun Lee 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. Reinforcement Learning: An Introduction
  5. Gradient-based learning applied to document recognition
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers