Pieter H. M. Spronck

Machine-mediated learning · 2006–2008

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Pieter H. M. Spronck trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto

Who trusts Pieter H. M. Spronck overall

  1. Tomer D. Ullman

Papers from Pieter H. M. Spronck's perspective

Ordered by how strongly the researchers Pieter H. M. Spronck trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. Introduction to Reinforcement Learning
  3. Bandit Based Monte-Carlo Planning
  4. The challenge of poker
  5. How to Solve It: Modern Heuristics
  6. Gradient-based learning applied to document recognition
  7. Residual Algorithms: Reinforcement Learning with Function Approximation
  8. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  9. Learning internal representations by error propagation
  10. Temporal Difference Learning and TD-Gammon

Their papers