Paulo E. Rauber
Reinforcement Learning · 2017
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 37 citations into it; #1,390 of 2,242 by trust here, #1,778 by citations
- Artificial Intelligence — 31 citations into it; #19,258 of 35,345 by trust here, #22,463 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
- Computational Theory and Mathematics — 7 citations into it; #6,424 of 12,182 by trust here, #5,724 by citations
- Control and Systems Engineering — 6 citations into it
Whom Paulo E. Rauber trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- J. Urgen Schmidhuber
- Diederik P. Kingma
- Jan Peters
- Doina Precup
- Andrew Barto
- Geoffrey E. Hinton
- Radford M. Neal
- Marc G. Bellemare
- Satinder Singh
Who trusts Paulo E. Rauber overall
- Michael Janner
- Qiyang Li
- Sergey Levine
- Rupesh Kumar Srivastava
- Mengjiao Yang
- J. Urgen Schmidhuber
- Dibya Ghosh
- Geoffrey Cideron
- Yilun Du
- Pranav Shyam
Papers from Paulo E. Rauber's perspective
Ordered by how strongly the researchers Paulo E. Rauber trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Reinforcement Learning: An Introduction
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Hindsight policy gradients (2017) — 76 citations