David Auger

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom David Auger trusts overall

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

  1. Rémi Coulom
  2. Martin A. Dufwenberg
  3. Nicolò Cesa-Bianchi
  4. Jean-Yves Audibert
  5. Levente Kocsis
  6. Peter Auer
  7. Martin A. Zinkevich
  8. Gábor Lugosi
  9. Sébastien Bubeck
  10. Csaba Szepesvari

Who trusts David Auger overall

  1. Johannes Heinrich
  2. David Silver
  3. Marc Lanctot

Papers from David Auger's perspective

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

  1. The Nonstochastic Multiarmed Bandit Problem
  2. Minimax Policies for Adversarial and Stochastic Bandits
  3. Bandit Based Monte-Carlo Planning
  4. Prediction, learning, and games
  5. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
  6. Reinforcement Learning: An Introduction
  7. Asymptotically efficient adaptive allocation rules
  8. Some aspects of the sequential design of experiments
  9. ImageNet classification with deep convolutional neural networks
  10. A decision-theoretic generalization of on-line learning and an application to boosting

Their papers