Hiroyuki Mizoue

Reinforcement Learning · 2009

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hiroyuki Mizoue trusts overall

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

  1. Richard S. Sutton
  2. Nicolas Schweighofer
  3. Kenji Doya
  4. Andrew Barto

Who trusts Hiroyuki Mizoue overall

  1. Stefan Elfwing

Papers from Hiroyuki Mizoue's perspective

Ordered by how strongly the researchers Hiroyuki Mizoue 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. Metalearning and neuromodulation
  4. Meta-learning in Reinforcement Learning
  5. Neural Networks for Pattern Recognition
  6. Residual Algorithms: Reinforcement Learning with Function Approximation
  7. Learning internal representations by error propagation
  8. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
  9. TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
  10. Stable Function Approximation in Dynamic Programming

Their papers