Jinhua Song

Reinforcement Learning · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinhua Song trusts overall

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

  1. Richard S. Sutton
  2. Fernando Fernández
  3. Andrew Barto
  4. Kimberly Ferguson
  5. Xuejun Liao
  6. Leslie Pack Kaelbling
  7. Matthew E. Taylor
  8. Alessandro Lazaric
  9. Martin L. Puterman
  10. Sridhar Mahadevan

Who trusts Jinhua Song overall

  1. Y. Liu
  2. Philippe Hansen-Estruch
  3. Amy Zhang
  4. Yujing Hu

Papers from Jinhua Song's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  3. ImageNet classification with deep convolutional neural networks
  4. Reinforcement Learning: A Survey
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Transfer Learning for Reinforcement Learning Domains: A Survey
  10. Long Short-Term Memory

Their papers