Yann-Michaël De Hauwere

Reinforcement Learning · 2010–2016

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Yann-Michaël De Hauwere trusts overall

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

  1. Peter Vrancx
  2. Craig Boutilier
  3. Michael L. Littman
  4. Francisco S. Melo
  5. Richard S. Sutton
  6. John N. Tsitsiklis
  7. Amy Greenwald
  8. Caroline Claus
  9. Ann Nowé
  10. Jelle R. Kok

Who trusts Yann-Michaël De Hauwere overall

  1. Yujing Hu
  2. Y. Liu
  3. Yang Gao
  4. Sam Devlin
  5. Shangding Gu
  6. Bo An
  7. Ann Nowé
  8. R´emi Munos
  9. B. '. Pires
  10. Pablo Hernandez-Leal

Papers from Yann-Michaël De Hauwere's perspective

Ordered by how strongly the researchers Yann-Michaël De Hauwere trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  2. Reinforcement Learning: An Introduction
  3. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  4. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  5. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
  6. ImageNet classification with deep convolutional neural networks
  7. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Correlated Q-Learning
  10. Gradient-based learning applied to document recognition

Their papers