Tinne De Laet

2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Tinne De Laet trusts overall

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

  1. Richard S. Sutton

Who trusts Tinne De Laet overall

  1. Vaishak Belle

Papers from Tinne De Laet's perspective

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

  1. Reinforcement Learning: An Introduction
  2. A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
  3. Bandit Based Monte-Carlo Planning
  4. Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming
  5. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  6. Eligibility Traces for Off-Policy Policy Evaluation
  7. Some aspects of the sequential design of experiments
  8. Asymptotically efficient adaptive allocation rules
  9. Near-Optimal Reinforcement Learning in Polynomial Time
  10. Stable Function Approximation in Dynamic Programming

Their papers