William D. Smart

Reinforcement Learning · 1998–2013

A researcher in the Science corpus: 7 papers; trusts 31 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

Whom William D. Smart trusts overall

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

  1. Geoffrey J. Gordon
  2. Christopher G. Atkeson
  3. Andrew W. Moore
  4. Longxin Lin
  5. Richard S. Sutton
  6. Maja J. Mataric
  7. Leslie Pack Kaelbling
  8. Stefan Schaal
  9. Sridhar Mahadevan
  10. Satinder Singh

Who trusts William D. Smart overall

  1. Javier García
  2. Sonia Chernova
  3. Kurt Driessens
  4. Pieter Abbeel
  5. Andrea Lockerd Thomaz
  6. Hado van Hasselt
  7. Sander Adam
  8. Fernando Fernández
  9. Lucian Busoniu
  10. Csaba Szepesvari

Papers from William D. Smart's perspective

Ordered by how strongly the researchers William D. Smart 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Reinforcement Learning: An Introduction
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers