C. Barbieri

Reinforcement Learning · 2014

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

Subfields

Whom C. Barbieri trusts overall

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

  1. Richard S. Sutton

Papers from C. Barbieri's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Least-Squares Policy Iteration
  3. Tree-Based Batch Mode Reinforcement Learning
  4. Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
  5. Algorithms for Reinforcement Learning
  6. Dynamic Programming and Optimal Control, Two Volume Set
  7. Bagging Predictors
  8. Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding
  9. Reinforcement Learning and Dynamic Programming Using Function Approximators
  10. Reinforcement learning of motor skills with policy gradients

Their papers