Brett L. Moore

Reinforcement Learning · 2004–2019

A researcher in the Science corpus: 8 papers; trusts 9 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Brett L. Moore trusts overall

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

  1. Richard S. Sutton
  2. Ben J. A. Kröse
  3. Peter S. Dayan
  4. Sean R. Eddy
  5. Anthony G. Doufas
  6. Andrew Barto
  7. Leslie Pack Kaelbling
  8. Leemon C. Baird III
  9. Michael L. Littman
  10. Larry D. Pyeatt

Who trusts Brett L. Moore overall

  1. Chao Yu
  2. Jiming Liu
  3. Adam E. Gaweda
  4. Eddy C. Borera
  5. Shamim Nemati
  6. Pierre Humbert
  7. Larry D. Pyeatt
  8. Anthony G. Doufas
  9. Philip S. Thomas
  10. Vivekanand Kulkarni

Papers from Brett L. Moore's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  3. Planning and Acting in Partially Observable Stochastic Domains
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. An Introduction to Reinforcement Learning
  7. ImageNet classification with deep convolutional neural networks
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons
  10. Generalization in Reinforcement Learning: Safely Approximating the Value Function

Their papers