Andrew Stout

Reinforcement Learning · 2005–2010

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 19 citations into it
• Artificial Intelligence — 10 citations into it; #13,055 of 35,345 by trust here, #22,463 by citations

Whom Andrew Stout trusts overall

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

1. Andrew Barto
2. J. Urgen Schmidhuber
3. Richard S. Sutton
4. Ben J. A. Kröse
5. Satinder Singh
6. Özgür Simsek
7. Pierre-Yves Oudeyer
8. Doina Precup
9. Sridhar Mahadevan
10. Geoffrey E. Hinton

Who trusts Andrew Stout overall

1. Adrien Baranes
2. Gianluca Baldassarre
3. Bruno Castro da Silva
4. Pierre-Yves Oudeyer
5. George Dimitri Konidaris
6. Marco Mirolli
7. Andrew Barto
8. Massimiliano Schembri
9. Andrej Karpathy
10. Clément Moulin-Frier

Papers from Andrew Stout's perspective

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

Their papers

• Competence progress intrinsic motivation (2010) — 46 citations
• Intrinsically Motivated Reinforcement Learning: A Promising Framework for Developmental Robot Learning (2005) — 79 citations