Vincent Graziano

Reinforcement Learning · 2011

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 16 citations into it
• Artificial Intelligence — 14 citations into it; #15,228 of 35,345 by trust here, #22,463 by citations
• Optimization & Training — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Vincent Graziano trusts overall

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

1. Richard S. Sutton
2. J. Urgen Schmidhuber
3. Paul J. Werbos
4. Sascha Lange
5. Andrew Barto
6. Daan Wierstra
7. Shun-ichi Amari
8. urgen Schmidhuber
9. Sepp Hochreiter
10. Yoshua Bengio

Who trusts Vincent Graziano overall

1. J. Urgen Schmidhuber
2. Adrien Baranes
3. Gianluca Baldassarre
4. Bill Hibbard
5. Pierre-Yves Oudeyer

Papers from Vincent Graziano's perspective

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

1. Long Short-Term Memory
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. Reinforcement Learning: An Introduction
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Sequential Constant Size Compressors for Reinforcement Learning (2011) — 18 citations
• Artificial curiosity with planning for autonomous perceptual and cognitive development (2011) — 33 citations