Ana Cecilia Tenorio-González

Reinforcement Learning · 2010

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ana Cecilia Tenorio-González trusts overall

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

  1. Adam Laud
  2. Andrew Y. Ng
  3. William D. Smart
  4. Karla Conn Welch
  5. Jan Peters
  6. Richard S. Sutton
  7. Leslie Pack Kaelbling
  8. R. Peters
  9. Maja J. Mataric
  10. Sethu Vijayakumar

Who trusts Ana Cecilia Tenorio-González overall

  1. W. B. Knox
  2. Stefanos Nikolaidis
  3. Peter Stone
  4. Julie Arnold Shah

Papers from Ana Cecilia Tenorio-González's perspective

Ordered by how strongly the researchers Ana Cecilia Tenorio-González trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
  8. Apprenticeship learning via inverse reinforcement learning
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers