E. Gatti

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 E. Gatti trusts

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

  1. Richard S. Sutton (in Reinforcement Learning)

Papers from E. Gatti's perspective

Ordered by how strongly the researchers E. Gatti 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. Algorithms for Reinforcement Learning
  5. Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
  6. Dynamic Programming and Optimal Control, Two Volume Set
  7. Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding
  8. Reinforcement Learning and Dynamic Programming Using Function Approximators
  9. Reinforcement learning of motor skills with policy gradients
  10. Extremely randomized trees

Their papers