Emmanuel Hadoux

Artificial Intelligence · 2014

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Emmanuel Hadoux trusts overall

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

  1. Tze Leung Lai
  2. Shunzheng Yu
  3. David Silver
  4. Levente Kocsis
  5. Kenji Doya
  6. Bruno Castro da Silva
  7. S. W. Ong
  8. Richard S. Sutton
  9. Martin L. Puterman
  10. Csaba Szepesvari

Who trusts Emmanuel Hadoux overall

  1. Khimya Khetarpal
  2. Pablo Hernandez-Leal
  3. Erwan Lecarpentier
  4. Matthew Riemer
  5. Michael Kaisers
  6. Emmanuel Rachelson
  7. Annie Xie
  8. Irina Rish
  9. Tim Baarslag
  10. Doina Precup

Papers from Emmanuel Hadoux's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Dynamic Programming and Markov Processes
  3. Bandit Based Monte-Carlo Planning
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Multiple Model-Based Reinforcement Learning
  6. ImageNet classification with deep convolutional neural networks
  7. Monte-Carlo Planning in Large POMDPs
  8. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  9. Gradient-based learning applied to document recognition
  10. Asynchronous Methods for Deep Reinforcement Learning

Their papers