Monica Babes-Vroman

Reinforcement Learning · 2008–2015

A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Monica Babes-Vroman trusts overall

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

  1. Richard S. Sutton
  2. Arthur P. Dempster
  3. Andrew Y. Ng
  4. Pieter Abbeel
  5. Martin L. Puterman
  6. Andrew Barto
  7. Umar Syed
  8. Michael H. Bowling
  9. S. Branavan
  10. Michael L. Littman

Who trusts Monica Babes-Vroman overall

  1. Kavosh Asadi
  2. Michael L. Littman
  3. Sam Devlin
  4. Saurabh Arora
  5. Zhifei Shao
  6. Christos Dimitrakakis
  7. Alex Peysakhovich
  8. Adam Lerer
  9. Markus Wulfmeier
  10. James MacGlashan

Papers from Monica Babes-Vroman's perspective

Ordered by how strongly the researchers Monica Babes-Vroman trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Reinforcement Learning: An Introduction
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers