H. Haughey

Proceedings of the National Academy of Sciences of the United States of America · 2007

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

Whom H. Haughey trusts overall

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

  1. Richard S. Sutton

Who trusts H. Haughey overall

  1. Michael J Frank
  2. Camelia M. Kuhnen

Papers from H. Haughey's perspective

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

  1. Reinforcement Learning: An Introduction
  2. A Neural Substrate of Prediction and Reward
  3. Learning internal representations by error propagation
  4. Reinforcement learning
  5. Learning in embedded systems
  6. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
  7. Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task
  8. Residual Algorithms: Reinforcement Learning with Function Approximation
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. A Model of How the Basal Ganglia Generate and Use Neural Signals That Predict Reinforcement

Their papers