Elizabeth McGovern

Reinforcement Learning · 2002

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 13 citations into it; #964 of 2,242 by trust here, #1,844 by citations

Whom Elizabeth McGovern trusts overall

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

1. Richard S. Sutton
2. Longxin Lin
3. Doina Precup
4. Thomas G. Dietterich
5. Thomas L. Dean
6. Oded Maron
7. Satinder Singh
8. Andrew Barto
9. Tomas Lozano-Perez
10. Peter S. Dayan

Who trusts Elizabeth McGovern overall

1. William T. B. Uther
2. Andrew Barto
3. Manuela M. Veloso
4. Özgür Simsek
5. Sridhar Mahadevan
6. Satinder Singh
7. Marc G. Bellemare
8. Matthew Botvinick
9. Junhyuk Oh

Papers from Elizabeth McGovern's perspective

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

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

Their papers

• Autonomous discovery of temporal abstractions from interaction with an environment (2002) — 98 citations