Anna Koop

Reinforcement Learning · 2005–2016

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Anna Koop trusts overall

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

  1. Richard S. Sutton
  2. Nate Kohl
  3. G. Tesauro
  4. Andrew Barto
  5. Peter Stone

Who trusts Anna Koop overall

  1. Richard S. Sutton
  2. David Silver
  3. Georgios Papoudakis
  4. Zhuangdi Zhu
  5. Adam White
  6. Maruan Al-Shedivat

Papers from Anna Koop's perspective

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

  1. Gradient-based learning applied to document recognition
  2. The Arcade Learning Environment: An Evaluation Platform for General Agents
  3. Human-level control through deep reinforcement learning
  4. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  5. Temporal Difference Learning and TD-Gammon
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers