Guillaume J. Laurent

Reinforcement Learning · 2007–2012

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Guillaume J. Laurent trusts overall

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

  1. Ming Tan
  2. Richard S. Sutton
  3. Martin Lauer
  4. Christopher J. C. H. Watkins
  5. Liviu Panait
  6. Michael H. Bowling
  7. Andrew Barto
  8. Peter S. Dayan
  9. Caroline Claus
  10. Martin A. Riedmiller

Who trusts Guillaume J. Laurent overall

  1. Gregory Palmer
  2. Chris Amato
  3. Xueguang Lyu
  4. Afshin Oroojlooyjadid
  5. Julien Pérolat
  6. Karl Tuyls
  7. Shayegan Omidshafiei
  8. Laëtitia Matignon
  9. Pablo Hernandez-Leal
  10. Xueguang Lu

Papers from Guillaume J. Laurent's perspective

Ordered by how strongly the researchers Guillaume J. Laurent 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. Reinforcement Learning: A Survey
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  8. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  9. Long Short-Term Memory
  10. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems

Their papers