Jean-Christophe Souplet

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jean-Christophe Souplet trusts overall

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

  1. R´emi Munos
  2. Daniel J. Lizotte

Papers from Jean-Christophe Souplet's perspective

Ordered by how strongly the researchers Jean-Christophe Souplet trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Practical Bayesian Optimization of Machine Learning Algorithms
  2. Least-Squares Policy Iteration
  3. A Survey on Policy Search for Robotics
  4. Efficient Global Optimization of Expensive Black-Box Functions
  5. Preference learning with Gaussian processes
  6. Completely Derandomized Self-Adaptation in Evolution Strategies
  7. Practical bayesian optimization
  8. Error Bounds for Approximate Policy Iteration
  9. How does clickthrough data reflect retrieval quality?
  10. Interactively optimizing information retrieval systems as a dueling bandits problem

Their papers