Yonatan Glassner

Reinforcement Learning · 2014

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Yonatan Glassner trusts overall

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

  1. Richard S. Sutton
  2. Peter W. Glynn
  3. Sham M. Kakade
  4. Jonathan Baxter
  5. John N. Tsitsiklis
  6. Victor Gabillon
  7. Reuven Y. Rubinstein
  8. Dimitri P. Bertsekas
  9. Mohammad Ghavamzadeh
  10. Andrew Barto

Who trusts Yonatan Glassner overall

  1. Yinlam Chow
  2. Brenden K. Petersen
  3. Gabriel Dulac-Arnold
  4. Daniel Jaymin Mankowitz
  5. Mikel Landajuela
  6. Mohammad Ghavamzadeh
  7. Daniel S. Brown
  8. Marc Rigter
  9. Shangding Gu
  10. Aravind Rajeswaran

Papers from Yonatan Glassner's perspective

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

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Simulation-based optimization of Markov reward processes
  9. Long Short-Term Memory
  10. A Natural Policy Gradient

Their papers