Nadine Le Fort-Piat

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 Nadine Le Fort-Piat trusts overall

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

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

Who trusts Nadine Le Fort-Piat overall

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

Papers from Nadine Le Fort-Piat's perspective

Ordered by how strongly the researchers Nadine Le Fort-Piat trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. Reinforcement Learning: A Survey
  3. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
  4. ImageNet classification with deep convolutional neural networks
  5. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  6. Gradient-based learning applied to document recognition
  7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  8. Long Short-Term Memory
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers