Leah Hackman

Reinforcement Learning · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Leah Hackman trusts overall

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

  1. Richard S. Sutton
  2. Leemon C. Baird III
  3. Ben J. A. Kröse
  4. Andrew Barto
  5. Steven J. Bradtke

Who trusts Leah Hackman overall

  1. Adam White
  2. Martha White
  3. Richard S. Sutton
  4. Sina Ghiassian
  5. A. Mahmood
  6. Andrew Patterson

Papers from Leah Hackman's perspective

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

  1. Residual Algorithms: Reinforcement Learning with Function Approximation
  2. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  3. Reinforcement Learning: An Introduction
  4. Stable Function Approximation in Dynamic Programming
  5. Gradient-based learning applied to document recognition
  6. Modified Policy Iteration Algorithms for Discounted Markov Decision Problems
  7. Linear Least-Squares algorithms for temporal difference learning
  8. Temporal Difference Learning and TD-Gammon
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Dynamic Programming and Markov Processes

Their papers