Michael Wunder

2010

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Whom Michael Wunder trusts overall

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

  1. Richard S. Sutton
  2. Michael H. Bowling
  3. Eduardo Rodrigues Gomes
  4. Satinder Singh
  5. Andrew Barto
  6. John N. Tsitsiklis
  7. Manuela M. Veloso
  8. Ryszard Kowalczyk
  9. Michael Kearns
  10. Peter S. Dayan

Who trusts Michael Wunder overall

  1. Pablo Hernandez-Leal
  2. Sai Qian Zhang
  3. Emilio Calvano
  4. Bilal Kartal
  5. Jieyu Lin
  6. Frans Adriaan Oliehoek
  7. Giacomo Calzolari

Papers from Michael Wunder's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Asynchronous Stochastic Approximation and Q-Learning
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  6. Residual Algorithms: Reinforcement Learning with Function Approximation
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Nash Convergence of Gradient Dynamics in General-Sum Games
  9. Rational and Convergent Learning in Stochastic Games
  10. Temporal Difference Learning and TD-Gammon

Their papers