Michael Delp

Reinforcement Learning · 2011

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Delp trusts overall

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

  1. Richard S. Sutton
  2. Hamid Reza Maei
  3. Andrew Barto
  4. Peter S. Dayan
  5. Doina Precup
  6. Leemon C. Baird III
  7. Csaba Szepesvari
  8. Satinder Singh
  9. Stephen W. Carden
  10. Justin A. Boyan

Who trusts Michael Delp overall

  1. Martha White
  2. Adam White
  3. Thomas Degris
  4. Richard S. Sutton
  5. A. Mahmood
  6. Marc G. Bellemare
  7. Krzysztof Czarnecki
  8. Arslan Chaudhry
  9. Ahmed Touati
  10. Vitchyr H. Pong

Papers from Michael Delp's perspective

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

  1. Reinforcement Learning: An Introduction
  2. An Introduction to Reinforcement Learning
  3. Gradient-based learning applied to document recognition
  4. Toward Off-Policy Learning Control with Function Approximation
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. CHILD: A First Step Towards Continual Learning
  8. Residual Algorithms: Reinforcement Learning with Function Approximation
  9. ImageNet classification with deep convolutional neural networks
  10. A convergent O ( n ) algorithm for off-policy temporal-difference learning with linear function approximation

Their papers