Adam Taylor

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Taylor trusts overall

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

  1. Matthew E. Taylor
  2. Peter Stone
  3. David P. Chassin
  4. C. Drummond
  5. Kevin P. Schneider
  6. Richard S. Sutton

Papers from Adam Taylor's perspective

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

  1. Transfer Learning for Reinforcement Learning Domains: A Survey
  2. A Survey on Transfer Learning
  3. Multiagent Systems: A Survey from a Machine Learning Perspective
  4. Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks
  5. Coordinated Reinforcement Learning
  6. Reinforcement Learning: An Introduction
  7. ImageNet classification with deep convolutional neural networks
  8. GridLAB-D: An open-source power systems modeling and simulation environment (IEEE/PES Transmission and Distribution Conference and Exposition)
  9. Gradient-based learning applied to document recognition
  10. Human-level control through deep reinforcement learning

Their papers